Soil-structure interaction interfaces: literature review

Zohra, Belhadj Fatma; Fouad, Belhadj Ahmed; Chabaat, Mohamed

doi:10.1007/s12517-022-10336-7

Cited by 1 publication

(1 citation statement)

References 93 publications

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“…The mechanical behavior of contact surfaces is divided into normal and tangential in numerical simulation. The normal behavior uses rigid contact, which applies contact stresses via the penalty-friction formula [20]. Contact pressurebased data simulates the Mohr-Coulomb failure criterion between foundation and soil contact surfaces.…”

Section: Data Concepts and Model Constructionmentioning

confidence: 99%

Towards Seismic Damage Assessment Model for Soil Structure Interaction-based Building

Belhadj

Chabaat

2023

Preprint

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Buildings located in seismic risk areas are susceptible to damage, so evaluation of the seismic performance of building structures is essential for accurate seismic design. Seismic Damage Assessment (SDA) is a difficult task for individual building structures dealing with FiniteElement Analysis (FE) and simulation techniques are time-consuming due to the complex model. Moreover, computational techniques based on FE with Soil-Structure Interaction (SSI) for earthquake damage assessment of buildings require high computational efforts to build the database for the development of the area-based prediction model. Therefore, this study provides a framework for an artificial neural network (ANN)-based model as a reliable alternative to developing a rapid decision-making tool for building SDA. To establish the SDAbased ANN model, three inputs, including seismic, building, and soil were selected as the main parameters, and seismic responses with soil-structure interaction were generated using a multi-step analysis process proposed. The results obtained demonstrate the high accuracy of the SDA-Net model proposed as a predictive approach and rapid decision support tool for structures with SSI impacts as a predisaster management approach for the assessment of damage and a handy tool for safe and durable structures against natural disasters.

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Section: Data Concepts and Model Constructionmentioning

confidence: 99%