Personal Information


Name
Nima Pirhadi
Gender
Male
Employee No.
4

Birthday
11/09/1981
Nationality
Iranian
Title
Dr.

Position
Associate Professor
Supervision
Master
Division
Geotechnical Engineering

Major
Civil (Geotechnical) Engineering
Research
Geotechnical Earthquake Engineering

Tel./Mobile phone
0086 **
Email
Nima.pirhadi@yahoo.com; nima.pirhadi@swpu.edu.cn

Personal Introduction

Nima Pirhadi is an Associate Professor in Geotechnical Earthquake engineering, department of Civil Engineering and Geomatics at Southwest Petroleum University in Chengdu, China, which is a Chinese Ministry of Education Double First Class Discipline University. According to People's Republic of China government published tertiary education development in September 2017, which includes 42 Double First Class Universities and 95 Double First Class Disciplines Universities; out of 2914 universities in China. In the area of geotechnical earthquake engineering, his research focuses on using data science, including statistics, probability and intelligent algorithms to develop models for risk assessment and hazard analysis. He applies mathematical, probabilistic, and statistical methods like Bayesian methods, first and second order reliability method, Monet Carlo simulation, Artificial Neural Networks, Deep learning and Response surface method for modelling and analysing experimental data, including case histories and laboratory test results, to develop models or performing optimization. In addition to that, issue of Hydro-thermal interaction process of roadbed in frozen soil region, the relationship between the phase transition law and environmental changes, is his research interest too.

Selected Publications

Pirhadi, N.; Tang, X.; Yang, Q. New Equations to Evaluate Lateral Displacement Caused by Liquefaction Using the Response Surface Method. J. Mar. Sci. Eng.2019, 7, 35. https://doi.org/10.3390/jmse**, (IF=2.033)
Pirhadi, N.; Tang, X.; Yang, Q. Energy Evaluation of Triggering Soil Liquefaction Based on the Response Surface Method. Appl. Sci.2019, 9, 694.https://doi.org/10.3390/app**, (IF=2.474)
Pirhadi, N.; Tang, X.; Yang, Q.; Kang, F. A New Equation to Evaluate Liquefaction Triggering Using the Response Surface Method and Parametric Sensitivity Analysis. Sustainability2019, 11, 112. https://doi.org/10.3390/su**, (IF=2.576)
Xiao Li, Shier Dong, Hazem Samih Mohamed, Ghiath Al Aqel, Pirhadi, N..Prediction of Tubular T/Y-Joint SIF by GA-BP Neural Network. KSCE J Civ Eng24, 2706–2715 (2020). https://doi.org/10.1007/s12205-020-1200-1. (IF=1.515)
Pirhadi, N.; Tang, X.; Yang, Q.; Asadi A.; Mohamed H. S.. Predicting lateral displacement caused by seismic liquefaction and performing parametric sensitivity analysis: Considering cumulative absolute velocity and fine content.https://doi.org/10.1007/s11709-021-0677-0 (IF=1.680)
Pirhadi, N.; Tang, X.; Yang, Q.c. in 1st International Conference on Geomechanics and Geoenvironmental Engineering (iCGMGE) Sydney, Australia. 2017. http://www.2017.icgmge.net.au/Proceedings.aspx
A frost-proof subgrade structure and its construction method for seasonally frozen regions. Inventors: Jianguo Lu, Xusheng Wan, Enxi Qiu, Zhongrui Yan, Fengyun Liu, Nima Pirhadi, Zhishen Wang. Appl. No., 5.2, Sep. 1, 2020

Awards

China Scholarship Council Award for Ph.D. research.
09.2013-09.2018



Remarks

Probabilistic and statistical methods using experimental geotechnical data in the context of data science to analyze data and develop models for risk assessment and hazard analysis.
Collecting geotechnical experimental data and applying data mining to discover validated data.
Risk assessment from geospatial information technologies for disaster risk reduction.
Sensitivity analysis of Geotechnical constructions due to the models’ and parameters’ uncertainties.
Applying Machine Learning, probabilistic approaches, Stochastic Models and Optimization forGeotechnical Earthquake engineeringusing Python, MATLAB and R programming.
Performance and Probability-Based approach using variety of methods such as Bayesian, logistic regression, maximum likelihood function, first and second-order reliability, point estimate and Monte Carlo simulation.
Applying FEM and FDM, Lagrangian and Lagrangian-Eulerian methods to solve Governing Equations of soil-pore fluid interaction like seismic liquefaction.
Hydro-thermal interaction process of roadbed in frozen soil region.