TY - JOUR
T1 - Terrestrial laser scanning assisted flatness quality assessment for two different types of concrete surfaces
AU - Li, Dongsheng
AU - Liu, Jiepeng
AU - Feng, Liang
AU - Zhou, Yang
AU - Liu, Pengkun
AU - Chen, Y. Frank
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (Grant Nos. 51622802 and 61876025) and the Scientific and Technological Innovation Foundation of Chongqing (Grant No. cstc2019yszx-jscxX0001), to which the authors are very grateful.
Funding Information:
This work was supported by the National Natural Science Foundation of China (Grant Nos. 51622802 and 61876025 ) and the Scientific and Technological Innovation Foundation of Chongqing (Grant No. cstc2019yszx-jscxX0001), to which the authors are very grateful.
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/3/15
Y1 - 2020/3/15
N2 - Terrestrial laser scanning (TLS) that can acquire reliable scanned data with high-precision, has been popularly adopted for the flatness quality assessment (FQA) in civil engineering. However, existing TLS assisted FQA methods are all designed particularly for a certain type of surfaces, like construction surfaces and component surfaces. To the best of our knowledge, no existing method that can be applied to both types of surface data and provide a visual representation of the flatness information. Keeping these in mind, based on TLS, this study develops a practical and general approach for the FQA of concrete surfaces, which can be applied for the two different types of scanned objects. A color coded deviation map is also developed to represent the FQA result. Validation experiments are conducted on a constructed room and on two full-scale precast concrete components, which indicate that the proposed approach is convenient and practical.
AB - Terrestrial laser scanning (TLS) that can acquire reliable scanned data with high-precision, has been popularly adopted for the flatness quality assessment (FQA) in civil engineering. However, existing TLS assisted FQA methods are all designed particularly for a certain type of surfaces, like construction surfaces and component surfaces. To the best of our knowledge, no existing method that can be applied to both types of surface data and provide a visual representation of the flatness information. Keeping these in mind, based on TLS, this study develops a practical and general approach for the FQA of concrete surfaces, which can be applied for the two different types of scanned objects. A color coded deviation map is also developed to represent the FQA result. Validation experiments are conducted on a constructed room and on two full-scale precast concrete components, which indicate that the proposed approach is convenient and practical.
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U2 - 10.1016/j.measurement.2019.107436
DO - 10.1016/j.measurement.2019.107436
M3 - Article
AN - SCOPUS:85077517001
SN - 0263-2241
VL - 154
JO - Measurement: Journal of the International Measurement Confederation
JF - Measurement: Journal of the International Measurement Confederation
M1 - 107436
ER -