On the Seismic Design of Ductile RC Buildings Considering Soil-Structure Interaction Effects

Juan Sebastián Baquero, Jesús Miguel Bairan, Alberto Ledesma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Soil-structure interaction (SSI) may condition the seismic performance of buildings in different ways. Previous studies show that SSI effects on structural response parameters may be either beneficial or detrimental, depending on specific characteristics of the structure, the soil, and the demand. Despite the great efforts put over the last decades into developing performance-based seismic design (PBSD) practices, engineers still rely on prescriptive code requirements for design purposes. Considering SSI effects, ASCE-7, for example, allows determining a reduced design-shear demand (V~ ) that obeys the interacting soil-structure system behavior. It is calculated by reducing the conventional shear demand, V, by a variation Δ V, according to V~ = V- Δ V≥ αV ; where α controls the magnitude of the reduced demand. α depends on the response modification factor (R ), resulting in a more significant reduction for structures presenting limited inelastic responses than for more ductile ones. This study investigates the behavior of α in ductile RC buildings while exposing the need to reflect not only the beneficial effects of SSI but the detrimental ones in determining the design-shear demand. To this end, 729 3D soil-structure systems (SSS) with different plan aspect ratios, slenderness ratios, and soil shear wave velocities were designed and analyzed using OpenSeesPy. Linear and nonlinear analysis procedures (APs) recommended at ASCE-41 are used to evaluate the response of the designed buildings. Based on these responses, a machine-learning (ML) technique is used to generate an estimation model for α, showing that the slenderness ratio, λstr, the fixed-base period, T, and the wave parameter, σSSI are key parameters to explain up to 90% of its variation.

Original languageEnglish
Title of host publicationProceedings of the 2022 Eurasian OpenSees Days
EditorsFabio Di Trapani, Cristoforo Demartino, Giuseppe Carlo Marano, Giorgio Monti
PublisherSpringer Science and Business Media Deutschland GmbH
Pages127-146
Number of pages20
ISBN (Print)9783031301247
DOIs
StatePublished - 2023
Event2nd Eurasian Conference on OpenSees Days, EOSD 2022 - Turin, Italy
Duration: 7 Jul 20228 Jul 2022

Publication series

NameLecture Notes in Civil Engineering
Volume326 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference2nd Eurasian Conference on OpenSees Days, EOSD 2022
Country/TerritoryItaly
CityTurin
Period7/07/228/07/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • adjusted shear demand
  • artificial intelligence
  • performance-based seismic design
  • soil-structure interaction

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