Peng Peng
- How job satisfaction affects professionalization behavior of new-generation construction workers: a model based on theory of planned behavior. In: Engineering, Construction and Architectural Management. :
- Towards a novel magnetic asphalt mixture containing ceramic ferrites for intelligently encoding road traffic sign information. In: Construction and Building Materials, v. 394 (August 2023). (2023):
- (2023): Comprehensive Social Cultural and Economic Benefits of Green Buildings Based on Improved AHP–FCE Method. In: Buildings, v. 13, n. 2 (14 Februar 2023).
- Research on seepage field of concrete dam foundation based on artificial neural network. In: Alexandria Engineering Journal, v. 60, n. 1 (Februar 2021). (2021):
- Experimental and theoretical analysis for steel CHS K‐shaped joints stiffened with joint plates. In: The Structural Design of Tall and Special Buildings, v. 31, n. 2 (November 2021). (2021):
- Bearing Capacity Test and Calculation Theory on CHS X-Joints Stiffened with Joint-Plates. In: KSCE Journal of Civil Engineering, v. 26, n. 2 (Dezember 2021). (2021):
- Influence of acidic environment and temperature on mechanical behavior of cement-treated Masado and numerical modeling with a thermoelasto-viscoplastic model. In: Soils and Foundations, v. 61, n. 6 (Dezember 2021). (2021):
- Thermo-mechanical loading tests on model cave made of man-made rock and corresponding finite element analyses. In: Underground Space, v. 7, n. 2 (April 2022). (2022):
- A Study on the Working Performance of Dowel Bars with Horizontal Installation Errors. In: Journal of Highway and Transportation Research and Development (English Edition), v. 6, n. 3 (September 2012). (2012):
- Deviation Detection and Comparison Analysis of the Joints of Cement Pavements. In: Journal of Highway and Transportation Research and Development (English Edition), v. 12, n. 1 (März 2018). (2018):
- Identification and evaluation of operation regulation strategies in district heating substations based on an unsupervised data mining method. In: Energy and Buildings, v. 202 (November 2019). (2019):
- GMM clustering for heating load patterns in-depth identification and prediction model accuracy improvement of district heating system. In: Energy and Buildings, v. 190 (Mai 2019). (2019):