8. summary and conclusionsnicolatarque.weebly.com/uploads/1/2/6/9/12699783/... · during the...

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8. SUMMARY AND CONCLUSIONS This thesis deals with the analysis of adobe masonry with emphasis on the selection of its elastic and inelastic parameters. The gathered experimental data derives basically from static and dynamic tests carried out at the Pontificia Universidad Católica del Perú. The numerical results of an adobe wall and an adobe module, run in Midas FEA and Abaqus, show a strong agreement with the experimental results in terms of failure pattern and seismic capacity. Peru, as many other countries, has a strong tradition in adobe construction. However, the good tradition is being lost; for example, new adobe houses located along the Peruvian coastline do not follow an acceptable geometrical configuration such as thicker walls with buttresses and small openings at the walls. The necessity of building with thinner walls is related to the small land size relatively available for low incomes families, which almost in all cases build without taking into account any seismic reinforcement or improvement. Therefore, the seismic vulnerability of adobe houses increases due to the lack of good construction practices. The seismic behaviour of unreinforced adobe constructions seems to follow a common failure sequence: the roof is not rigid enough to guarantee a rigid diaphragm so the adobe walls behave independently and are very vulnerable to out of plane loads. During the earthquakes the walls separates from each other due to the large vertical cracks that appear at the wall intersections. Simultaneously, diagonal cracks start at the wall openings and cracks due to horizontal and vertical bending break the walls into small rigid blocks, followed by wall overturning if the movement continues. The roof collapses after the walls fall down. One way to reduce the high seismic risk is by understanding how adobe structures (considering different configurations and different uses, e.g. houses, churches, monuments) behave under different levels of ground motion. Considering the high cost of the experimental tests, the numerical modelling of adobe constructions is an option for understanding its seismic behaviour. Little work has been published on modelling of adobe structures. It appears that the best approach is to use finite element models developed for other britlle materials, mainly concrete and masonry. Two general approaches were seen here: the micro-modelling and the macro-modelling. The first one related with the discontinuous or discrete approach and the second one with the continuum approach. The principal input for these

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Page 1: 8. SUMMARY AND CONCLUSIONSnicolatarque.weebly.com/uploads/1/2/6/9/12699783/... · During the earthquakes the walls separates from each other due to the large vertical cracks that

8. SUMMARY AND CONCLUSIONS

This thesis deals with the analysis of adobe masonry with emphasis on the selection of its elastic and inelastic parameters. The gathered experimental data derives basically from static and dynamic tests carried out at the Pontificia Universidad Católica del Perú. The numerical results of an adobe wall and an adobe module, run in Midas FEA and Abaqus, show a strong agreement with the experimental results in terms of failure pattern and seismic capacity.

Peru, as many other countries, has a strong tradition in adobe construction. However, the good tradition is being lost; for example, new adobe houses located along the Peruvian coastline do not follow an acceptable geometrical configuration such as thicker walls with buttresses and small openings at the walls. The necessity of building with thinner walls is related to the small land size relatively available for low incomes families, which almost in all cases build without taking into account any seismic reinforcement or improvement. Therefore, the seismic vulnerability of adobe houses increases due to the lack of good construction practices.

The seismic behaviour of unreinforced adobe constructions seems to follow a common failure sequence: the roof is not rigid enough to guarantee a rigid diaphragm so the adobe walls behave independently and are very vulnerable to out of plane loads. During the earthquakes the walls separates from each other due to the large vertical cracks that appear at the wall intersections. Simultaneously, diagonal cracks start at the wall openings and cracks due to horizontal and vertical bending break the walls into small rigid blocks, followed by wall overturning if the movement continues. The roof collapses after the walls fall down. One way to reduce the high seismic risk is by understanding how adobe structures (considering different configurations and different uses, e.g. houses, churches, monuments) behave under different levels of ground motion. Considering the high cost of the experimental tests, the numerical modelling of adobe constructions is an option for understanding its seismic behaviour.

Little work has been published on modelling of adobe structures. It appears that the best approach is to use finite element models developed for other britlle materials, mainly concrete and masonry. Two general approaches were seen here: the micro-modelling and the macro-modelling. The first one related with the discontinuous or discrete approach and the second one with the continuum approach. The principal input for these

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approaches are the constitutive laws in tension, compression and shear in the elastic and inelastic range. Information on mechanical properties is however scarce for adobe masonry. Micro-modelling is used for analysis of small masonry structures and especially for understanding the behaviour of the brick-mortar interface; while macro-modelling is used for representing large structures with distributed damage. Another approach for modelling masonry structures is by an equivalent frame method; which can be considered within a macro-modelling approach.

In this thesis the material parameters of adobe masonry are calibrated for the two finite element approaches previously mentioned and implemented into Midas FEA and Abaqus (standard and explicit). For the micro-modelling the composite model developed by Lourenço [1996] for fired brick masonry is used in Midas FEA. This model allows concentrating all the inelasticity (tension, compression and shear) at the mortar joints. Following this approach the adobe wall tested under cyclic loads by Blondet et al. [2005] is reproduced here in Midas FEA but considering only monotonic displacements. The numerical results match quiet well the failure pattern and seismic capacity of the experimental test until certain displacement level, but the analysis stops due to convergence problems. Although the material parameters seems to be correctly calibrated (see Table 6.3), it is recommended to elaborate a test campaign to obtain experimentally the constitutive laws for tension and shear at the mud mortar joints and compression tests of the composite (brick plus mortar). Since adobe is a brittle material, displacement controlled tests can be a good option for capturing the inelastic range. The author recommends using the data specified in Table 6.3 within a discrete approach.

For the macro-modelling two finite element models are used: the total-strain model implemented in Midas FEA and the concrete damaged plasticity model implemented in Abaqus (within a standard and explicit solution). Unlike fired clay masonry, the adobe masonry can be considered as a homogeneous and isotropic material due to the similarity in material properties between the adobe bricks and the mud mortar joints. Generally, the adobe bricks are fabricated and after some time they are used for construction, in this case the mud mortar has not the same age of the bricks and the dry process between mortar and bricks can generate weak zones at the bed and head contact zones.

Similarly to the work done with the discrete approach, the material properties of the adobe masonry in the macro-models are calibrated based on the cyclic test of an adobe wall. Special attention is paid to simulate the crack opening/closing due to tension. Again, the failure pattern and the seismic capacity is quiet well represented and it is concluded that the calibrated material parameters shown in Table 6.4 (for Midas FEA, total-strain model) and Table 6.5 (for Abaqus, concrete damaged plasticity model) can be used for analysis of other geometrical configurations of adobe structures. The adobe module dynamically tested by Blondet et al. [2006] was reproduced using Abaqus/Implicit

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and Abaqus/Explicit. The acceleration record related to the displacement input used in the experimental tests was applied at the base of the numerical module. The results match well the displacement and acceleration responses measured at the adobe walls (see Appendix). However, the solution within an implicit approach has problems of convergence due to the formation of cracking in the walls, while the analysis with explicit solution does not have convergence problems.

An explicit analysis (Abaqus/Explicit) is adequate for dealing with dynamic problems with quasi-brittle material and contact problems. The integration scheme allows continuing computing the displacement field at the shell elements avoiding convergence problems due to progressive degradation and progressive loss of the material integrity.

The continuum models do not allow the physical separation of the rigid blocks produced by the movement, for this reason the rocking behaviour of the adobe walls are not perfectly captured by the model run in Abaqus, but it is still good enough to understand the cracking process and to identify the zones where the adobe masonry behaves inelastically. According to the non-linear dynamic analysis of the adobe module the numerical displacement response of the walls shows some dependency between the parallel and perpendicular walls; however, in the experimental model a physical separation (vertical cracks) was observed at the union of the walls allowing a rocking behaviour at the walls perpendicular to the movement and a quasi rigid movement at the parallel walls. When high relative displacements are read in the displacement history of the walls, the failure pattern should be controlled to check if vertical cracks are produced at the wall intersection zones.

According to section 6.2.1 it is shown that the governing material property in the adobe masonry is the tension strength and the tensile softening. Here a ft= 0.04 MPa with I

fG = 0.01 N/mm and h 140 mm is recommended for further analyses. The compression behaviour of the adobe masonry does not affect the seismic capacity of the walls. However, a lower bound of the compression strength fc = 0.30 MPa could be considered, with a ratio of c

f cG f/ = 0.344 mm. Analyses with fc= 0.7 MPa were also carried out and the results did not vary too much. Here it is recommended to use fc= 0.45 MPa maintaining the ratio c

f cG f/ = 0.344 mm. The elastic behaviour of the adobe masonry is greatly controlled by the elasticity modulus E, which is considered between 200 to 230 MPa. Lower values of E seem to underestimate the seismic capacity of the masonry. If the analysis requires a given shear retention factor, a value of 0.05 is suggested. Besides, a small dilatancy angle is considered, similarly to masonry structures [Lourenço 1996]. The material parameters shown in Table 6.5 are specified for numerical analysis of adobe structures with different configurations within an explicit solution.

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Because of the importance of the roof on the seismic behavior of the adobe module, sSpecial attention was placed in understanding the interaction between the roof (formed by wooden beams) and the walls. Experimentally, the wooden beams were attached to the adobe walls through steel nails and mud mortar. During the first phase of the test (with maximum total displacement at the base of 30 mm) separation between the wooden beams and the walls were observed, especially at the wall corners. During the phase 2, which was analyzed in this work, this detachment is clearly seen at the walls perpendicular to the movement, causing the rocking behavior. The effect of partial connection between the wooden beams and the walls has been studied in the finite element models. The best solution was to simulate detachment of the wooden beams from the walls by removing some linear wooden elements close to the wall intersections. When dealing with the analysis of other structures, special attention should be placed to the roof simulation and to evaluate the possibilities of allowing vertical cracking at the wall intersections if they do not have any confining element.

The general conclusion of this thesis is the acceptability of micro and macro modelling for the analysis of adobe structures; besides, the author recommends to use the second approach (continuum model) since the adobe material is reasonable well modelled as a homogeneous material and its behaviour can be represented by a calibrated tension and compression behaviour. The calibrated material parameters for new analyses are given in Table 6.5. It is also recommended to follow when possible an explicit method. In this case the concrete damaged plasticity model should be used.

Although the results achieved in this research, further detailed work should be addressed, namely to:

characterize the mechanical behaviour of adobe material. In this case, an exhaustive experimental campaign should be developed to investigate the linear and the non-linear material properties of the adobe masonry. Since adobe is a brittle material, the testing setups to be adopted should capture the post maximum strength response, thus displacement controlled tests are suggested.

study the influence of roof-wall connections in the response of the constructions. It was seen that the roof system conformed by wooden beams are normally not properly connected to the adobe walls. Those are just attached with steel nails which were disconnected from the walls during the dynamic test. In the research developed in this thesis a simplification of the connection was assumed in the numerical models, reducing the wooden beam length and disconnecting them from the walls at the corners. However, simplified non-linear response of this interaction mechanism should be proposed and calibrated with experimental results.

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study other type of adobe structures. The macro-modelling approach suggested in this research work can be extended to the analysis of other adobe structures with different configurations, especially for the evaluation of the seismic vulnerability of historic structures as houses, churches and convents, frequently found in Latin-American countries. With this, the weak zones of adobe structures can be identified and based on these results retrofitting solutions may be proposed.

study retrofitting solutions for adobe constructions. The efficiency of different strengthening solutions (invasive and non-invasive) can be numerically assessed, estimating the benefits in terms of post-elastic behaviour of the retrofitted adobe structures, namely ductility and energy dissipation capacity.

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APPENDIX A. Comparison of the experimental and

numerical relative displacement response of the adobe

module. Implicit analysis.

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A.1. Relative displacement history. Model 1.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

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0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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A.2. Relative displacement history. Model 2.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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A.3. Relative displacement history. Model 3.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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A.4. Relative displacement history. Model 4.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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A.5. Relative displacement history. Model 5.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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A.6. Relative displacement history. Model 6.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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A.7. Relative displacement history. Model 7.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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A.8. Relative displacement history. Model 8.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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APPENDIX B. Comparison of the experimental and

numerical total acceleration response of the adobe module.

Implicit analysis.

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B.1. Total acceleration history. Model 1.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Front Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Rear Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

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B.2. Total acceleration history. Model 2.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Front Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Rear Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

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B.3. Total acceleration history. Model 3.

Right Wall

-1-0.5

00.5

11.5

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

ExperimentalNumerical

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

ExperimentalNumerical

Front Wall

-3-2-10123

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

ExperimentalNumerical

Rear Wall

-1.5-1

-0.50

0.51

1.52

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) ExperimentalNumerical

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B.4. Total acceleration history. Model 4.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Front Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Rear Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

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B.5. Total acceleration history. Model 5.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Front Wall

-4

-2

0

2

4

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Rear Wall

-4

-2

0

2

4

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

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B.6. Total acceleration history. Model 6.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Front Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Rear Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

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B.7. Total acceleration history. Model 7.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Front Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Rear Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

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B.8. Total acceleration history. Model 8.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Front Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Rear Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

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Page 39: 8. SUMMARY AND CONCLUSIONSnicolatarque.weebly.com/uploads/1/2/6/9/12699783/... · During the earthquakes the walls separates from each other due to the large vertical cracks that

APPENDIX C. Comparison of the experimental and

numerical relative displacement response of the adobe

module. Explicit analysis.

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Sabino Nicola Tarque Ruíz

232

C.1. Relative displacement history. Model 9.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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Numerical modelling of the seismic behaviour of adobe buildings

233

C.2. Relative displacement history. Model 10.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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Sabino Nicola Tarque Ruíz

234

C.3. Relative displacement history. Model 11.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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Numerical modelling of the seismic behaviour of adobe buildings

235

C.4. Relative displacement history. Model 12.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

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Sabino Nicola Tarque Ruíz

236

C.5. Relative displacement history. Model 13.

Right Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Left Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Front Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Rear Wall

-50-25

0255075

100

0 5 10 15 20 25 30

Time (s)

Dis

plac

emen

t (m

m)

ExperimentalNumerical

Page 45: 8. SUMMARY AND CONCLUSIONSnicolatarque.weebly.com/uploads/1/2/6/9/12699783/... · During the earthquakes the walls separates from each other due to the large vertical cracks that

APPENDIX D. Comparison of the experimental and

numerical total acceleration response of the adobe module.

Explicit analysis.

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Sabino Nicola Tarque Ruíz

238

D.1. Total acceleration history. Model 9.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Front Wall

-4

-2

0

2

4

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

ExperimentalNumerical

Rear Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

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Numerical modelling of the seismic behaviour of adobe buildings

239

D.2. Total acceleration history. Model 10.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Front Wall

-4

-2

0

2

4

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Rear Wall

-4

-2

0

2

4

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

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Sabino Nicola Tarque Ruíz

240

D.3. Total acceleration history. Model 11.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Front Wall

-4

-2

0

2

4

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Rear Wall

-4

-2

0

2

4

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

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Numerical modelling of the seismic behaviour of adobe buildings

241

D.4. Total acceleration history. Model 12.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Front Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Rear Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

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Sabino Nicola Tarque Ruíz

242

D.5. Total acceleration history. Model 13.

Right Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

)

NumericalExperimental

Left Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Front Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental

Rear Wall

-2

-1

0

1

2

0 5 10 15 20 25 30

Time (s)

Acc

eler

atio

n (g

) NumericalExperimental