Next-generation non-linear and collapse prediction models for short- to long-period systems via machine learning methods-Reference-Cited by-同舟云学术

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Next-generation non-linear and collapse prediction models for short- to long-period systems via machine learning methods

Published:2024-05 Issue: Volume:306 Page:117801
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Shahnazaryan Davit^ORCID,O’Reilly Gerard J.

Publisher

Elsevier BV

Reference66 articles.

1. C.E.N. Eurocode 8: Design of Structures for Earthquake Resistance - Part 1: General Rules, Seismic Actions and Rules for Buildings (EN 1998–1:2004). Brussels, Belgium: 2004.

2. ASCE 7–16. Minimum Design Loads for Buildings and Other Structures. Reston, VA, USA: 2016.

3. NZS 1170.5:2004. Structural design actions part 5: Earthquake actions . Wellington, New Zealand: 2004.

4. N.T.C. Norme Tecniche Per Le Costruzioni. Rome, Italy: 2018.

5. FEMA. FEMA P58-3. Seismic Performance Assessment of Buildings Volume 3 - Performance Assessment Calculation Tool (PACT). Washington, D.C.: 2012.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the utility of story loss functions for regional seismic vulnerability modeling and risk assessment;Earthquake Spectra;2024-04-26

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