TY - JOUR
T1 - Quantifying the Differences in Documentation and Modeling Levels for Building Pathology and Diagnostics
AU - Napolitano, Rebecca
AU - Hess, Michael
AU - Glisic, Branko
N1 - Funding Information:
This work was supported by the Department of Civil and Environmental Engineering, the Council on Science and Technology, the Dean’s Fund for Innovation, and the School of Engineering and Applied Sciences at Princeton. Additional support was provided by the Kinsella Fund, the Qualcomm Institute at UC San Diego, the Friends of CISA3, and the World Cultural Heritage Society. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grants No. DGE-1656466 and No. DGE-0966375, ‘Training, Research and Education in Engineering for Cultural Heritage Diagnostics,’ and award No. CNS-1338192, ‘MRI: Development of Advanced Visualization Instrumentation for the Collaborative Exploration of Big Data.’. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. Opinions, findings, and conclusions from this study are those of the authors and do not necessarily reflect the opinions of the research sponsors. This work was completed as part of the Itasca Educational Partnership under the mentorship of Dr. Jim Hazzard.
Funding Information:
This work was supported by the Department of Civil and Environmental Engineering, the Council on Science and Technology, the Dean?s Fund for Innovation, and the School of Engineering and Applied Sciences at Princeton. Additional support was provided by the Kinsella Fund, the Qualcomm Institute at UC San Diego, the Friends of CISA3, and the World Cultural Heritage Society. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grants No. DGE-1656466 and No. DGE-0966375, ?Training, Research and Education in Engineering for Cultural Heritage Diagnostics,? and award No. CNS-1338192, ?MRI: Development of Advanced Visualization Instrumentation for the Collaborative Exploration of Big Data.?. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. Opinions, findings, and conclusions from this study are those of the authors and do not necessarily reflect the opinions of the research sponsors. This work was completed as part of the Itasca Educational Partnership under the mentorship of Dr. Jim Hazzard.
Publisher Copyright:
© 2019, The Author(s).
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Building pathology and diagnostics enable a practitioner to quantify the severity of damage to an existing structure as well as prioritize interventive and preventive measures. Two key aspects of building pathology and diagnostics are documentation and analysis to understand how damage could have occurred on a structure and how it affects overall stability. Within these two methods there are various levels which a practitioner can utilize. The aim of the present work is to quantify the differences in documentation and modeling levels to understand how they affect the overall process of building pathology and delineate the advantages and disadvantages of each approach. Using combinations of photogrammetry, laser scanning, thermal imaging, distinct element modeling, and finite-distinct element modeling, this work seeks to understand how differences in the level of numerical modeling affect damage diagnoses as well as how differences in documentation levels affect damage diagnoses. In particular, the advantages and disadvantages of simulations using simplified micro-modeling versus detailed micro-modeling, the effects of small perturbations to modeling geometry, and the influences of initial conditions are explored. These questions are examined through the use of two case studies including the foundation walls of the Baptistery di San Giovanni in Florence, Italy and a wall in Palazzo Vecchio in Florence, Italy.
AB - Building pathology and diagnostics enable a practitioner to quantify the severity of damage to an existing structure as well as prioritize interventive and preventive measures. Two key aspects of building pathology and diagnostics are documentation and analysis to understand how damage could have occurred on a structure and how it affects overall stability. Within these two methods there are various levels which a practitioner can utilize. The aim of the present work is to quantify the differences in documentation and modeling levels to understand how they affect the overall process of building pathology and delineate the advantages and disadvantages of each approach. Using combinations of photogrammetry, laser scanning, thermal imaging, distinct element modeling, and finite-distinct element modeling, this work seeks to understand how differences in the level of numerical modeling affect damage diagnoses as well as how differences in documentation levels affect damage diagnoses. In particular, the advantages and disadvantages of simulations using simplified micro-modeling versus detailed micro-modeling, the effects of small perturbations to modeling geometry, and the influences of initial conditions are explored. These questions are examined through the use of two case studies including the foundation walls of the Baptistery di San Giovanni in Florence, Italy and a wall in Palazzo Vecchio in Florence, Italy.
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U2 - 10.1007/s11831-019-09350-y
DO - 10.1007/s11831-019-09350-y
M3 - Article
AN - SCOPUS:85068854207
SN - 1134-3060
VL - 27
SP - 1135
EP - 1152
JO - Archives of Computational Methods in Engineering
JF - Archives of Computational Methods in Engineering
IS - 4
ER -