Liangchao Zou

Liangchao Zou

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Liangchao Zou

Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2015 in International Journal of Rock Mechanics and Mining Sciences
Verified
Journal Article
Closed access
LZLiangchao Zou
Liangchao Zou
LJLanru Jing
Lanru Jing
VCVladimir Cvetkovic
Vladimir Cvetkovic

1 September 2017 in International Journal of Rock Mechanics and Mining Sciences
Verified
Journal Article
Closed access
LZLiangchao Zou
Liangchao Zou
LJLanru Jing
Lanru Jing
VCVladimir Cvetkovic
Vladimir Cvetkovic

1 September 2017 in Advances in Water Resources
Verified
Journal Article
Closed access
LZLiangchao Zou
Liangchao Zou
LJLanru Jing
Lanru Jing
VCVladimir Cvetkovic
Vladimir Cvetkovic

1 June 2018 in International Journal of Rock Mechanics and Mining Sciences
Verified
Journal Article
Closed access
LZLiangchao Zou
Liangchao Zou
UHUlf Håkansson
Ulf Håkansson
VCVladimir Cvetkovic
Vladimir Cvetkovic

21 January 2017 in Transport in Porous Media
Verified
Journal Article
Open access
PDF file
LZLiangchao Zou
Liangchao Zou
LJLanru Jing
Lanru Jing
VCVladimir Cvetkovic
Vladimir Cvetkovic
Fluid flow and solute transport in a 3D rough-walled fracture–matrix system were simulated by directly solving the Navier–Stokes equations for fracture flow and solving the transport equation for the whole domain of fracture and matrix with considering matrix diffusion. The rough-walled fracture–matrix model was built from laser-scanned surface tomography of a real rock sample, by considering realistic features of surfaces roughness and asperity contacts. The numerical modeling results were compared with both analytical solutions based on simplified fracture surface geometry and numerical results by particle tracking based on the Reynolds equation. The aim is to investigate impacts of surface roughness on solute transport in natural fracture–matrix systems and to quantify the uncertainties in application of simplified models. The results show that fracture surface roughness significantly increases heterogeneity of velocity field in the rough-walled fractures, which consequently cause complex transport behavior, especially the dispersive distributions of solute concentration in the fracture and complex concentration profiles in the matrix. Such complex transport behaviors caused by surface roughness are important sources of uncertainty that needs to be considered for modeling of solute transport processes in fractured rocks. The presented direct numerical simulations of fluid flow and solute transport serve as efficient numerical experiments that provide reliable results for the analysis of effective transmissivity as well as effective dispersion coefficient in rough-walled fracture–matrix systems. Such analysis is helpful in model verifications, uncertainty quantifications and design of laboratorial experiments.

1 March 2020 in Journal of Hydrology
Verified
Journal Article
Closed access
BLBo Li
Bo Li
YMYangyang Mo
Yangyang Mo
LZLiangchao Zou
Liangchao Zou
Richeng LiuRicheng Liu
Richeng Liu
VCVladimir Cvetkovic
Vladimir Cvetkovic