Building information modelling-enabled multi-objective optimization for energy consumption parametric analysis in green buildings design using hybrid machine …

Y Liu, T Li, W Xu, Q Wang, H Huang, BJ He - Energy and Buildings, 2023 - Elsevier
Green buildings (GB) have been widely promoted in various nations. However, the post
occupancy evaluation suggests many GB cannot well fulfill the expected targets. To …

Application of copula-based Bayesian network method to water leakage risk analysis in cross river tunnel of Wuhan Rail Transit Line 3

L Wang, H Chen, Y Liu, H Li, W Zhang - Advanced Engineering Informatics, 2023 - Elsevier
Water leakage typically infiltrates through bolt holes and segment joints, posing a threat to
the stability of tunnel structures. In this paper, we develop a copula-based Bayesian network …

Safety risk perception and control of water inrush during tunnel excavation in karst areas: An improved uncertain information fusion method

X Wu, Z Feng, S Yang, Y Qin, H Chen, Y Liu - Automation in Construction, 2024 - Elsevier
Water inrush disasters seriously endanger the construction safety of karst tunnels. To
accurately assess the water inrush risk level of karst tunnels, actively prevent and control …

Enhancing mix proportion design of low carbon concrete for shield segment using a combination of Bayesian optimization-NGBoost and NSGA-III algorithm

Y Cao, F Su, MF Antwi-Afari, J Lei, X Wu… - Journal of Cleaner …, 2024 - Elsevier
The demand for segment concrete increases rapidly with the expansion of urban rail transit
and underground space, which may lead to carbon emissions (CE). In the production of …

Intelligent multiobjective optimization for high-performance concrete mix proportion design: A hybrid machine learning approach

S Yang, H Chen, Z Feng, Y Qin, J Zhang, Y Cao… - … Applications of Artificial …, 2023 - Elsevier
The concrete mix proportion design process is complex but important, especially in cold,
ocean, underground and other complex engineering environments. In this study, a hybrid …

Comfort, carbon emissions, and cost of building envelope and photovoltaic arrangement optimization through a two-stage model

J Zhan, W He, J Huang - Applied Energy, 2024 - Elsevier
The design of a high-performance building necessitates tradeoffs among multiple
performance objectives, and many simulation-based optimization tools have been …

BIM-driven building greenness evaluation system: An integrated perspective drawn from model data and collective experts' judgments

X Wu, Y Cao, W Liu, Y He, G Xu, ZS Chen, Y Liu… - Journal of Cleaner …, 2023 - Elsevier
Traditional buildings will lead to a series of problems such as high energy consumption,
high pollution, and serious waste of resources and environmental damage. It is of great …

Overview of research and development of nearly zero energy buildings in China

Z Yu, C Gao, J Yang, J Wu, H Zhang - National Science Open, 2024 - nso-journal.org
In recent years, the promotion of nearly zero-energy buildings (NZEBs) in China has
emerged as a crucial step for the building industry in shifting towards a green and low …

Intelligent prediction of the frost resistance of high-performance concrete: a machine learning method

J Zhang, Y Cao, L Xia, D Zhang, W Xu… - Journal of Civil …, 2023 - ijspm.vgtu.lt
Frost resistance in very cold areas is an important engineering issue for the durability of
concrete, and the efficient and accurate prediction of the frost resistance of concrete is a …

A systematic review of multi-output prediction model for indoor environment and heating, ventilation, and air conditioning energy consumption in buildings

K Jiang, T Shi, H Yu, N Mahyuddin… - Indoor and Built …, 2024 - journals.sagepub.com
Heating, ventilation and air conditioning (HVAC) systems could significantly impact indoor
environmental quality, particularly in terms of thermal comfort and indoor air quality …