[2] WANG Y H, PAN W. The contribution of cleaner production in the material industry to reducing embodied energy and emissions in China’s building sector[J]. Build Environ, 2023, 242: 110555.
[3] ZHOU W, FU W W, LV G Y, et al. Preparation and properties of CaCl2·6H2O/silica aerogel composite phase change material for building energy conservation[J]. J Mol Liq, 2023, 382.
[4] CHANG Y, RIES R J, LEI S H. The embodied energy and emissions of a high-rise education building: A quantification using process-based hybrid life cycle inventory model[J]. Energy Build, 2012, 55: 790–798.
[5] HUANG P J, HUANG S L, MARCOTULLIO P J. Relationships between CO2 emissions and embodied energy in building construction: A historical analysis of Taipei[J]. Build Environ, 2019, 155: 360–375.
[6] HAMID H, CHORZEPA M G. Quantifying maximum temperature in 17 mass concrete cube specimens made with mixtures including metakaolin and/or slag[J]. Constr Build Mater, 2020, 252: 118950.
[7] LANGAN B W, WENG K, WARD M A. Effect of silica fume and fly ash on heat of hydration of Portland cement[J]. Cem Concr Res, 2002, 32(7): 1045–1051.
[8] DEROUSSEAU M A, KASPRZYK J R, SRUBAR W V III. Computational design optimization of concrete mixtures: A review[J]. Cem Concr Res, 2018, 109: 42–53.
[9] HARIRI-ARDEBILI M A, SEYED-KOLBADI S M, NOORI M. Response surface method for material uncertainty quantification of infrastructures[J]. Shock Vib, 2018, 2018: 1784203.
[10] SOLTANI M, MOAYEDFAR R, VUN R, et al. Using response surface methodology to assess the performance of the pervious concrete pavement[J]. IJPRT, 2023, 16: 576–591.
[11] NEMATI M, NEMATZADEH M, RAHIMI S. Effect of fresh concrete compression technique on pre- and post-heating compressive behavior of steel fiber-reinforced concrete: Experiments and RSM-based optimization[J]. Constr Build Mater, 2023, 400: 132786.
[12] WU C, PAN H, LUO Z, et al. Multi-objective optimization of residential building energy consumption, daylighting, and thermal comfort based on BO-XGBoost-NSGA-II[J]. Build Environ, 2024, 254: 111386.
[13] KOKSAL F, NAZL? T, BENLI A, et al. The effects of cement type and expanded vermiculite powder on the thermo-mechanical characteristics and durability of lightweight mortars at high temperature and RSM modelling[J]. Case Stud Constr Mater, 2021, 15: e00709.
[14] BHEEL N, ALI M O A, SHAFIQ N, et al. Utilization of millet husk ash as a supplementary cementitious material in eco-friendly concrete: RSM modelling and optimization[J]. Structures, 2023, 49: 826–841.
[15] ZERIG T, AIDOUD A, BELACHIA M, et al. Combined sand eco-mortar reinforced with polyethylene Terephthalate: Behavior and optimization using RSM method[J]. Constr Build Mater, 2023, 404.
[16] BHEEL N, MOHAMMED B S, ALI M O A, et al. Effect of graphene oxide as a nanomaterial on the bond behaviour of engineered cementitious composites by applying RSM modelling and optimization[J]. J Mater Res Technol, 2023, 26: 1484–1507.
[17] KHAN K, JOHARI M A M, AMIN M N, et al. Optimization of colloidal nano-silica based cementitious mortar composites using RSM and ANN approaches[J]. Results Eng, 2023, 20: 101390.
[18] HO C M, DOH S I, LI X, et al. RSM-based modelling of cement mortar with various water to cement ratio and steel slag content[J]. Phys Chem Earth, 2022, 128: 103256.
[19] LI K, WANG Y S, ZHANG X, et al. Raw material ratio optimisation of magnesium oxychloride cement using response surface method[J]. Constr Build Mater, 2021, 272: 121648.
[20] WEI X D, QIAO X L, CHEN T L. Design framework for rehabilitation grout materials during metro operation period: A combination of improved central composite design modeling and multi-objective particle swarm optimization[J]. Constr Build Mater, 2023, 401: 132690.
[21] TANHADOUST A, ALI EMADI S A, NASROLLAHPOUR S, et al. Optimal design of sustainable recycled rubber-filled concrete using life cycle assessment and multi-objective optimization[J]. Constr Build Mater, 2023, 402: 132878.
[22] ZHANG C, LIU J M, LI X Q, et al. Multi-objective optimization design of TRISO-based fully ceramic microencapsulated fuel[J]. J Nucl Mater, 2023, 585.
[23] DONG W, HUANG Y M, LEHANE B, et al. Multi-objective design optimization for graphite-based nanomaterials reinforced cementitious composites: A data-driven method with machine learning and NSGA-Ⅱ[J]. Constr Build Mater, 2022, 331: 127198.
[24] CHEN H Y, CAO Y, LIU Y, et al. Enhancing the durability of concrete in severely cold regions: Mix proportion optimization based on machine learning[J]. Constr Build Mater, 2023, 371: 130644.
[25] LIU Y, ZHANG Z Q, HOU G H, et al. Preparation of sustainable and green cement-based composite binders with high-volume steel slag powder and ultrafine blast furnace slag powder[J]. J Clean Prod, 2021, 289: 125133.
[26] LI Z P, LU D G, GAO X J, Multi-objective optimization of gap-graded cement paste blended with supplementary cementitious materials using response surface methodology, Constr Build Mater, 2020, 248: 118552–118552
[27] LIU S H, FANG P P, WANG H L, et al. Effect of tuff powder on the hydration properties of composite cementitious materials[J]. Powder Technol, 2021, 380: 59–66.