L
Ling Ma
Researcher at University College London
Publications - 41
Citations - 963
Ling Ma is an academic researcher from University College London. The author has contributed to research in topics: Building information modeling & Computer science. The author has an hindex of 13, co-authored 31 publications receiving 484 citations. Previous affiliations of Ling Ma include Technion – Israel Institute of Technology & Huazhong University of Science and Technology.
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Journal ArticleDOI
Wavelet prediction method for ground deformation induced by tunneling
TL;DR: In this paper, a wavelet intelligence prediction system (WIPS) is presented to predict ground deformation induced by tunneling, which is composed of three parts: wavelet analysis, model identification and system prediction.
Journal ArticleDOI
Safety risk analysis based on a geotechnical instrumentation data warehouse in metro tunnel project
Ling Ma,Hanbin Luo,Hua Rong Chen +2 more
TL;DR: A double Gaussian model is proposed to represent the settlement trough over twin tunnels and a revised trough width parameter is proposedTo represent the scope of safety risk areas, the ground loss is found to grow in a pattern that can be represented by a logistic curve.
Journal ArticleDOI
Evaluating Social Housing Retrofit Options to Support Clients’ Decision Making—SIMPLER BIM Protocol
TL;DR: A Building Information Modelling (BIM) protocol aimed to support decision making by social housing owners is presented, which adopts BIM to simulate alternative retrofit options, considering potential reductions in energy consumption, 4D BIM for retrofit planning and reduction of users' disruption and simulation of costs.
Proceedings ArticleDOI
SeeBridge Information Delivery Manual (IDM) for Next Generation Bridge Inspection
TL;DR: An Information Delivery Manual was compiled to specify the technical components, activities and information exchanges in the SeeBridge process and supports development of the system by rigorously defining the information and data repositories that structure bridge engineers’ knowledge.
Journal ArticleDOI
Building digital twins of existing highways using map data based on engineering expertise
TL;DR: In this paper , the authors presented an approach for creating the digital twin of a highway using map data, which consists of primary highway components, including horizontal alignment, vertical alignment, cross-section, lanes and central reserves.