Luyuan PENG

Aloha👋. Welcome to Luyuan Peng (彭路远) Page. I'm a first-year Ph.D. at Department of Civil Engineering at The University of Hong Kong, supervised by Prof. Wenjun Cao and Prof. Joseph Sai Hung CHEUNG. My Ph.D. research interests mainly focus on circular city and digital twin.

I graduated with a master degree from School of Civil Engineering of Southeast University, supervised by Prof. Lei He. My master interests mainly focus on digital modelling and planning of urban underground space(UUS) from the multidisciplinary perspectives.

Publications and Conference

Planning urban underground space from urban emergency evacuation: A digital layout planning method

Luyuan Peng, Lei He, Yi Zhang, Yingxin Zhou, Huaiguang Xiao, and Ruihua Wang

Tunnelling and Underground Space Technology, In 2023

Abstract Highlights Website

In recent years, the vulnerability of cities has heightened the threat of disasters, thereby endangering the safety of urban population. To mitigate these risks, the establishment of well-planned shelter system is of utmost importance for effective emergency response. Urban underground space (UUS) stands out as a promising solution for providing shelter during times of disasters, owing to its distinct characteristics of confinement and stability. However, the majority of UUS do not function directly for emergency evacuation, leading to neglect at the planning phase. It is valuable to study an applicable planning technique to prospectively consider emergency shelter services of UUS. In this paper, based on digital tools, a method for the rapid quantitative extraction and analysis of a dynamic population distribution is proposed to quantify demand for emergency evacuation. A multi-step greedy algorithm and a social force model (SFM) with specialized parameters are constructed to realize the simulation and analysis on a digital platform with integrated urban models. A multi-criteria decision-making system for evaluating UUS layout is established using the technique for order of preference by similarity to ideal solution (TOPSIS). Finally, a case study in Nanjing built-up area is presented to demonstrate the performance of the proposed method. The proposed method can expand the research perspective and data-driven toolkit for underground space planning.

1. A digital layout planning method of UUS from emergency evacuation is developed.
2. The rapid extraction method of dynamic population distribution is proposed.
3. An evacuation simulation algorithm specialized for planning scenarios is established.
4. A multi-criteria evaluating system for UUS planning scheme selection is developed.
5. The method application case in Nanjing is presented.
An information multiplexing algorithm for integrating complex geological models into numerical analysis of engineering excavations

Luyuan Peng, Lei He

18TH World Conference of the Associated Research Centers for the Urban Underground Space (ACUUS 2023), Singapore, 2023 [accept]

Abstract Website

The impact of complex geology on engineering excavations in modern urban construction is a topic of great interest, and modelling is a critical tool for assessing this impact. Despite the availability of information modelling tools for storing geological information and refined numerical analysis software, coupling these two types of tools to build computational models that effectively analyze the impact of geological information on engineering excavations remains challenging. This often results in critical geological information being underutilized or overlooked in the simplified process of adapting computational time and resources. This study proposes a model mapping algorithm based on the interpolation framework of numerical manifold method (NMM) that can seamlessly integrate complex geological information from a 3D geological model established by borehole big data into the numerical calculation. The algorithm's robustness is examined in terms of the spatial distribution mapping of strata and the abrupt distribution mapping of mechanical parameters. The study then discusses the influence of spatial variability of geotechnical property on the spatial effects of excavation, and verifies the effectiveness of the algorithm by comparing it with actual engineering monitoring data. The proposed algorithm can provide a refined numerical service for pre-planning underground spaces and for safety assessments during construction, effectively assessing the impact of complex geology on engineering excavations.
Research Experience
1. Research on the integrated development and use of underground space in Qingliangshan area based on geological investigation and demand analysis
2. Research on the evaluation algorithm of mid-shallow geological disturbance for urban underground space (UUS) planning
3. Numerical simulation of uniaxial compression of multi-mineral rocks using adaptive Voronoi mesh
4. Research on digital twin construction technology for waterways (foundation pits)
5. College student innovation and entrepreneurship competition

See more details in Projects Section.

Honours and Awards

Master

Provincial Second Prize (Academic Award), Jiangsu civil defence office (rank 6/7)

Master

Postgraduate Second-Class Scholarship, Southeast University of China

Bachelor

Outstanding College Student for 2020 graduation at Chang'an University of China.

Bachelor

National First Prize (TOP 1%), 2019 National College Students Mathematical Contest

Bachelor

Outstanding Volunteer (TOP 10), 2019 Shaanxi History Museum

Bachelor

Outstanding Student Leader (TOP 3) for THREE consecutive years

See more information about me in More Section. Feel Free to talk with me through email.

Publications and Conference

Research Experience

Honours and Awards