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 …

Reducing embodied carbon in structural systems: A review of early-stage design strategies

D Fang, N Brown, C De Wolf, C Mueller - Journal of Building Engineering, 2023 - Elsevier
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 …

Implementing data-driven parametric building design with a flexible toolbox

NC Brown, V Jusiega, CT Mueller - Automation in Construction, 2020 - Elsevier
Designers in architecture and engineering are increasingly employing parametric models
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

S Nagpal, C Mueller, A Aijazi… - Journal of Building …, 2019 - Taylor & Francis
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 …

[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 …

Design space exploration for comparing embodied carbon in tall timber structural systems

I Hens, R Solnosky, NC Brown - Energy and Buildings, 2021 - Elsevier
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 …

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 …

Data-driven approximation algorithms for rapid performance evaluation and optimization of civil structures

S Tseranidis, NC Brown, CT Mueller - Automation in Construction, 2016 - Elsevier
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 …

Well-conditioned AI-assisted sub-matrix selection for numerically stable constrained form-finding of reticulated shells using geometric deep Q-learning

KMM Tam, R Maia Avelino, D Kudenko, T Van Mele… - Meccanica, 2024 - Springer
The selection of well-conditioned sub-matrices is a critical concern in problems across
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

Y Shahbazi, M Ghofrani, S Pedrammehr - Buildings, 2023 - mdpi.com
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 …