[HTML][HTML] Bio-based materials as a robust solution for building renovation: A case study

A Galimshina, M Moustapha, A Hollberg, P Padey… - Applied Energy, 2022 - Elsevier
Boosting building renovation is urgently needed to achieve carbon neutrality by 2050.
Building retrofit can be achieved by energy-efficient measures such as thermal insulation or …

Strategies for robust renovation of residential buildings in Switzerland

A Galimshina, M Moustapha, A Hollberg… - Nature …, 2024 - nature.com
Building renovation is urgently required to reduce the environmental impact associated with
the building stock. Typically, building renovation is performed by envelope insulation and/or …

Surrogate-assisted many-objective optimization of building energy management

Q Liu, F Lanfermann, T Rodemann… - IEEE Computational …, 2023 - ieeexplore.ieee.org
Building energy management usually involves a number of objectives, such as investment
costs, thermal comfort, system resilience, battery life, and many others. However, most …

Decision-making under uncertainty in the early phase of building façade design based on multi-objective stochastic optimization

C Zong, M Margesin, J Staudt, F Deghim… - Building and …, 2022 - Elsevier
In response to the European 2030 climate and energy policy framework and to satisfy
various stakeholders, trade-offs between different goals should be considered in the …

Approximating robust Pareto fronts by the MEOF-based multiobjective evolutionary algorithm with two-level surrogate models

Y Shui, H Li, J Sun, Q Zhang - Information Sciences, 2024 - Elsevier
The multiobjective optimization problems (MOPs) under uncertain environments are very
challenging to be solved due to the sensitivities of some robust decision variables. To find …

Adaptive surrogate assisted multi-objective optimization approach for highly nonlinear and complex engineering design problems

A Younis, Z Dong - Applied Soft Computing, 2024 - Elsevier
Despite enormous advances in computer power, computationally costly models impede the
use of traditional optimization approaches that must be invoked repeatedly during the …

Wavelet-neural network based robust optimization of self-centering viscous damper for steel MR frame

S Das, S Tesfamariam - Journal of Earthquake Engineering, 2024 - Taylor & Francis
This study implements robust design optimization (RDO) of a self-centering viscous damper
in the presence of seismic uncertainty. The RDO minimizes the effect of random input …

Nondeterministic Kriging for Probabilistic Systems with Mixed Continuous and Discrete Input Variables

J Jayasekara, S Kameshwar - ASCE-ASME Journal of Risk and …, 2024 - ascelibrary.org
This paper presents a nondeterministic kriging (NDK) method to approximate the response
of probabilistic systems with mixed continuous and discrete input variables. The proposed …

A novel robust design optimization method combining improved flower pollination algorithm and dual Kriging

D Zhang, Y Li, G Wang, Q Xia, H Zhang - Multidiscipline Modeling in …, 2023 - emerald.com
Purpose This study aims to propose a more precise method for robust design optimization of
mechanical structures with black-box problems, while also considering the efficiency of …

Isogeometric Optimization of Structural Shapes for Robustness Based on Biomimetic Principles

C Liu, ES de Cursi, R Troian - International Symposium on Uncertainty …, 2023 - Springer
New challenges in shape optimization design under uncertainties lead to inspiration from
nature. In this paper, we choose trees as the inspiration resource and apply the axiom of …