Data‐driven identification and modeling of earthquake‐excited building structures regarding soil‐structure interaction

2020 ◽  
Vol 29 (18) ◽  
Author(s):  
Nan Gong ◽  
Peizhen Li ◽  
Jiazeng Shan ◽  
Yuting Ouyang
Keyword(s):  
Soil Structure ◽  
Data Driven ◽  
Soil Structure Interaction ◽  
Building Structures ◽  
Structure Interaction

scholarly journals Influencia de la interacción suelo-estructura en edificaciones aporticadas (oficinas) de 4,8 y 12 pisos en perfiles de suelo S1, S2 y S3 de Lima – Perú bajo la normativa Americana NIST GCR 12-917-21

2020 ◽  
Author(s):  
◽  
Ray Carlos Curioso Ccanto ◽  
Andy Javier Torres Castillo
Keyword(s):  
Soil Structure ◽  
Soil Structure Interaction ◽  
Building Structures ◽  
Structure Interaction

La presente investigación, desarrollará la interacción dinámica suelo estructura IDSE con y sin amortiguamiento aplicado a 3 modelos denominados modelo A, modelo B y modelo C con 4, 8 y 12 pisos respectivamente. Estos modelos serán evaluados en tres tipos de perfiles de suelo S1, S2 y S3 con características (peso específico, coeficiente de poisson y carga admisible) obtenidas de los libros del Sr. Braja M. Das y Willian Rodriguez Serquen. La evaluación de la IDSE se realizará mediante las ecuaciones simplificadas propuestas por la Norma Americana (EEUU) NIST GCR 12-917-21 Soil-Structure Interaction for Building Structures donde se desarrolla la interacción inercial que se hace referencia a los desplazamientos y rotaciones en la base de la estructura (fundación) debido a la respuesta de la estructura cuando da lugar un sismo. Asimismo, la flexibilidad de la fundación y suelo son representados mediante 6 rigideces (3 de traslacionales y 3 de rotación) con y sin amortiguamiento. Para cada modelo se realizará una comparación de cortante basal, momento, desplazamientos, derivas, periodos, frecuencias, modos de vibración, fuerzas internas máximas, y fuerzas internas en un pórtico con la finalidad de observar el comportamiento de las estructuras en los distintos tipos de suelo y tamaños de las modelos propuestas.

scholarly journals Performance evaluation of an MR damper in building structures considering soil-structure interaction effects

2009 ◽  
Vol 18 (1) ◽  
pp. 105-115 ◽  
Author(s):  
Sung-Kyung Lee ◽  
Sang-Hyun Lee ◽  
Kyung-Won Min ◽  
Byoung-Wook Moon ◽  
Kyung-Jo Youn ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Soil Structure ◽  
Mr Damper ◽  
Interaction Effects ◽  
Soil Structure Interaction ◽  
Building Structures ◽  
Structure Interaction

scholarly journals The State and the Arts of Research on Foundation Buried Depth Effect on Building Structure

2013 ◽  
Vol 2 (1) ◽  
pp. 11
Author(s):  
Liang Li ◽  
Xiuli Du ◽  
Liyun Li
Keyword(s):  
Soil Structure ◽  
The State ◽  
Soil Structure Interaction ◽  
Response Property ◽  
Building Structures ◽  
Static Response ◽  
Depth Effect ◽  
Structure Interaction ◽  
Future Developments ◽  
The Arts

<p>The state and the arts of research on foundation buried depth effect on building structures are reviewed and summarized in detail from such aspects as static response property and dynamic response property, and a brief discussion is carried out on the future developments and studies. Different scholars have conducted research for this aspect of the issue; the conclusions vary because of differences in the conditions of the upper structure stiffness. Superstructure should consider different stiffness conditions a lot of numerical calculations, foundation depth summary obtained reaction influence on the dynamic characteristics and dynamic soil structure interaction system of law.</p>

Influence of soil–structure interaction on fragility assessment of building structures

Structures ◽  
2016 ◽  
Vol 6 ◽  
pp. 85-98 ◽  
Author(s):  
Chara Ch. Mitropoulou ◽  
Christos Kostopanagiotis ◽  
Markos Kopanos ◽  
Dennis Ioakim ◽  
Nikos D. Lagaros
Keyword(s):  
Soil Structure ◽  
Soil Structure Interaction ◽  
Building Structures ◽  
Structure Interaction

scholarly journals The State and the Arts of Research on Foundation Buried Depth Effect on Building Structure

2013 ◽  
Vol 2 ◽  
pp. 11
Author(s):  
Liang Li ◽  
Xiuli Du ◽  
Liyun Li
Keyword(s):  
Soil Structure ◽  
The State ◽  
Soil Structure Interaction ◽  
Response Property ◽  
Building Structures ◽  
Static Response ◽  
Depth Effect ◽  
Structure Interaction ◽  
Future Developments ◽  
The Arts

<p>The state and the arts of research on foundation buried depth effect on building structures are reviewed and summarized in detail from such aspects as static response property and dynamic response property, and a brief discussion is carried out on the future developments and studies. Different scholars have conducted research for this aspect of the issue; the conclusions vary because of differences in the conditions of the upper structure stiffness. Superstructure should consider different stiffness conditions a lot of numerical calculations, foundation depth summary obtained reaction influence on the dynamic characteristics and dynamic soil structure interaction system of law.</p>

scholarly journals Machine Learning-Based Approach for Seismic Damage Prediction Method of Building Structures Considering Soil-Structure Interaction

2021 ◽  
Vol 13 (8) ◽  
pp. 4334
Author(s):  
Jongmuk Won ◽  
Jiuk Shin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Seismic Performance ◽  
Soil Structure ◽  
Interaction Effects ◽  
Seismic Damage ◽  
Soil Structure Interaction ◽  
Building Structures ◽  
Seismic Responses ◽  
Structure Interaction

Conventional seismic performance evaluation methods for building structures with soil–structure interaction effects are inefficient for regional seismic damage assessment as a predisaster management system. Therefore, this study presented the framework to develop an artificial neural network-based model, which can rapidly predict seismic responses with soil–structure interaction effects and determine the seismic performance levels. To train, validate and test the model, 11 input parameters were selected as main parameters, and the seismic responses with the soil–structure interaction were generated using a multistep analysis process proposed in this study. The artificial neural network model generated reliable seismic responses with the soil–structure interaction effects, and it rapidly extended the seismic response database using a simple structure and soil information. This data generation method with high accuracy and speed can be utilized as a regional seismic assessment tool for safe and sustainable structures against natural disasters.

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