Structural Properties of Tall Diagrid Buildings Using a Neural Dynamic Model for Design Optimization-Reference-Cited by-同舟云学术

Structural Properties of Tall Diagrid Buildings Using a Neural Dynamic Model for Design Optimization

Published:2022-03 Issue:3 Volume:148 Page:
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Palacio-Betancur Alejandro¹^ORCID,Gutierrez Soto Mariantonieta²^ORCID

Affiliation:

1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Pennsylvania State Univ., 212 Sackett Bldg., University Park, PA 16802. ORCID: .

2. Assistant Professor, School of Engineering Design, Technology, and Professional Programs, Pennsylvania State Univ., 213 Hammond Bldg., University Park, PA 16802 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ST.1943-541X.0003271

Reference36 articles.

1. Optimization of space structures by neural dynamics

2. Hybrid CPN-Neural Dynamics Model for Discrete Optimization of Steel Structures

3. AISC. 2017. “Load and resistance factor design specification for structural steel buildings.” In Steel construction manual. 15th ed. Chicago: AISC.

4. Advances in optimization of highrise building structures

5. Cost optimization of reinforced concrete flat slabs of arbitrary configuration in irregular highrise building structures

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