Machine learning in structural design: an opinionated review
C Málaga-Chuquitaype - Frontiers in Built Environment, 2022 - frontiersin.org
The prominence gained by Artificial Intelligence (AI) over all aspects of human activity today
cannot be overstated. This technology is no newcomer to structural engineering, with logic …
cannot be overstated. This technology is no newcomer to structural engineering, with logic …
Reducing embodied carbon in structural systems: A review of early-stage design strategies
The embodied carbon emissions of buildings are increasingly important to mitigate. Most of
these emissions come from structural systems. While many strategies have been identified …
these emissions come from structural systems. While many strategies have been identified …
Implementing data-driven parametric building design with a flexible toolbox
Designers in architecture and engineering are increasingly employing parametric models
linked to performance simulations to assist in early building design decisions. This context …
linked to performance simulations to assist in early building design decisions. This context …
A methodology for auto-calibrating urban building energy models using surrogate modeling techniques
Owners of large building portfolios such as university campuses have long relied on building
energy models to predict potential energy savings from various efficiency upgrades …
energy models to predict potential energy savings from various efficiency upgrades …
[PDF][PDF] Funicular Shell Design: Geometric approaches to form finding and fabrication of discrete funicular structures
M Rippmann - 2016 - research-collection.ethz.ch
Addressing both architects and engineers, this dissertation presents a new framework for the
form finding and design of fabrication geometry of discrete, funicular structures in the early …
form finding and design of fabrication geometry of discrete, funicular structures in the early …
Design space exploration for comparing embodied carbon in tall timber structural systems
This paper describes a parametric framework for early-stage tall timber design, which
enables a comparison across a range of geometries with respect to embodied carbon of the …
enables a comparison across a range of geometries with respect to embodied carbon of the …
A computer-aided approach to equilibrium design based on graphic statics and combinatorial variations
PO Ohlbrock, P D'Acunto - Computer-Aided Design, 2020 - Elsevier
This article introduces a series of significant enhancements to the Combinatorial Equilibrium
Modelling (CEM), a computer-aided form-finding approach to generate and control three …
Modelling (CEM), a computer-aided form-finding approach to generate and control three …
Data-driven approximation algorithms for rapid performance evaluation and optimization of civil structures
This paper explores the use of data-driven approximation algorithms, often called surrogate
modeling, in the early-stage design of structures. The use of surrogate models to rapidly …
modeling, in the early-stage design of structures. The use of surrogate models to rapidly …
Well-conditioned AI-assisted sub-matrix selection for numerically stable constrained form-finding of reticulated shells using geometric deep Q-learning
The selection of well-conditioned sub-matrices is a critical concern in problems across
multiple disciplines, particularly those demanding robust numerical stability. This research …
multiple disciplines, particularly those demanding robust numerical stability. This research …
Aesthetic assessment of free-form space structures using machine learning based on the expert's experiences
Parametric form findings of free-form space structures and qualitative assessment of their
aesthetics are among the concerns of architects. This study aims to evaluate the aesthetic …
aesthetics are among the concerns of architects. This study aims to evaluate the aesthetic …