Prof. Jianye Ching
 Taiwan University

Time
8:30am-12:00pm

Brief introduction

This section provides a brief overview of Bayesian analysis. It starts from simple models with analytical Bayesian solutions. Then, more complicated models without analytical Bayesian solutions will be covered, including spatial variability models. In the end, advanced models such as hierarchical Bayesian models will be discussed.

Prof. Jian Ji

Hohai University

Time
14:00pm-14:50pm

Brief introduction

This section aims to introduce the basic concept of first and/or second order reliability methods, their current trend development and application in geotechnical engineering. Extension to importance sampling in conjunction with the design point by FORM to improve the estimation accuracy of small level failure probability will also be briefly discussed. At last, reliability-based design (RBD) using an inverse reliability algorithm will be demonstrated via several geotechnical examples. All numerical implementation will be demonstrated in the Microsoft Excel’s Spreadsheet platform in order to help students/practitioners to understand all the computational details.

Prof. Peng Zeng

Chengdu University of Technology

Time
14:50pm-15:40pm

Brief introduction

For complex geotechnical problems, obtaining an output from the input through implicit performance functions is often time-consuming, making it challenging to balance computational efficiency and accuracy in direct simulations. In such cases, the response surface method (RSM) can be used for reliability analysis by approximating the implicit performance function with a response surface. This section introduces three typical RSMs and their applications in geotechnical reliability analysis:

(1) Classical RSM;

(2) Kriging-based RSM;

(3) Support Vector Machine-based RSM.

Prof. Te Xiao

Shanghai Jiao Tong University

Time
16:10pm-17:00pm

Brief introduction

Simulation-based methods would be very useful for reliability problems with high dimensionality, nonlinear performance functions, and multiple failure modes, which are not uncommon in geotechnical engineering. This section introduces several random sampling techniques and three simulation-based reliability analysis methods:

(1) Random sampling techniques;

(2) Monte Carlo simulation;

(3) Importance sampling;

(4) Subset simulations.

Prof. Jie Zhang

Tongji University

Time
17:00pm-17:50pm

Brief introduction

To facilitate the practical application of reliability theory in geotechnical design, the factor of safety or partial factors used in geotechnical design codes can be calibrated through reliability theory. The focus of this theory is on calibrating geotechnical design using reliability theory, which consists of the following parts:

(1) Reliability method for code calibration;

(2) Reliability based revision of design code for pile foundations in Shanghai;

(3) Challenges for calibrating resistance factors in geotechnical engineering.