Assessing the Economic Risk of Building Damage Due to the Tunneling-Induced Settlement Using Monte Carlo Simulations and BIM

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Assessing the Economic Risk of Building Damage Due to the Tunneling-Induced Settlement Using Monte Carlo Simulations and BIM. / Providakis, Stylianos; Rogers, Chris; Chapman, David.

In: Sustainability, Vol. 12, No. 23, 10034, 01.12.2020.

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@article{9f5dbe33b8784b35809047810d599cee,
title = "Assessing the Economic Risk of Building Damage Due to the Tunneling-Induced Settlement Using Monte Carlo Simulations and BIM",
abstract = "Due to the increasing use of underground space to align with sustainability needs, geohazard risk assessments have become a valuable tool for decision-making. One common issue in relation to urban geohazard assessments relates to ground movements due to tunneling affecting adjacent buildings. A framework for assessing costs related to subsequent building damage, using integrated data, statistics and considering the uncertainties involved, is presented in this paper. The proposed methodology provides an integration of Monte Carlo simulations to support uncertainty estimations with an analysis for building-damage cost risk due to tunneling-induced settlements. The analysis involves analytical models using green-field conditions and a typically used building damage assessment method. BIM is capable of collating, combining and visualizing information with advanced analysis techniques into a risk-based tool. The resulting tool provides a clear way of assessing building-damage costs risk due to tunneling-induced settlements. This uses a BIM-based environment and incorporates 3D visualizations and an integrated analysis via MATLAB to reveal and highlight hazardous areas and the severity of economic risk along the tunneling route. This informs the need for additional ground investigations or secondary analyses to ensure engineering processes reduce or remove the risk of economic damage and advance sustainable decision-making. ",
keywords = "BIM, Building damage costs, Settlement economic risk, Tunneling, Uncertainty",
author = "Stylianos Providakis and Chris Rogers and David Chapman",
note = "Funding Information: Funding: This research was funded by the Engineering and Physical Sciences Research Council via grants EP/K021699 (Assessing The Underworld), EP/N010523 (Self-Repairing Cities) and EP/P013635 (UKCRIC-National Buried Infrastructure Facility).",
year = "2020",
month = dec,
day = "1",
doi = "10.3390/su122310034",
language = "English",
volume = "12",
journal = "Sustainability",
issn = "2071-1050",
publisher = "MDPI",
number = "23",

}

RIS

TY - JOUR

T1 - Assessing the Economic Risk of Building Damage Due to the Tunneling-Induced Settlement Using Monte Carlo Simulations and BIM

AU - Providakis, Stylianos

AU - Rogers, Chris

AU - Chapman, David

N1 - Funding Information: Funding: This research was funded by the Engineering and Physical Sciences Research Council via grants EP/K021699 (Assessing The Underworld), EP/N010523 (Self-Repairing Cities) and EP/P013635 (UKCRIC-National Buried Infrastructure Facility).

PY - 2020/12/1

Y1 - 2020/12/1

N2 - Due to the increasing use of underground space to align with sustainability needs, geohazard risk assessments have become a valuable tool for decision-making. One common issue in relation to urban geohazard assessments relates to ground movements due to tunneling affecting adjacent buildings. A framework for assessing costs related to subsequent building damage, using integrated data, statistics and considering the uncertainties involved, is presented in this paper. The proposed methodology provides an integration of Monte Carlo simulations to support uncertainty estimations with an analysis for building-damage cost risk due to tunneling-induced settlements. The analysis involves analytical models using green-field conditions and a typically used building damage assessment method. BIM is capable of collating, combining and visualizing information with advanced analysis techniques into a risk-based tool. The resulting tool provides a clear way of assessing building-damage costs risk due to tunneling-induced settlements. This uses a BIM-based environment and incorporates 3D visualizations and an integrated analysis via MATLAB to reveal and highlight hazardous areas and the severity of economic risk along the tunneling route. This informs the need for additional ground investigations or secondary analyses to ensure engineering processes reduce or remove the risk of economic damage and advance sustainable decision-making.

AB - Due to the increasing use of underground space to align with sustainability needs, geohazard risk assessments have become a valuable tool for decision-making. One common issue in relation to urban geohazard assessments relates to ground movements due to tunneling affecting adjacent buildings. A framework for assessing costs related to subsequent building damage, using integrated data, statistics and considering the uncertainties involved, is presented in this paper. The proposed methodology provides an integration of Monte Carlo simulations to support uncertainty estimations with an analysis for building-damage cost risk due to tunneling-induced settlements. The analysis involves analytical models using green-field conditions and a typically used building damage assessment method. BIM is capable of collating, combining and visualizing information with advanced analysis techniques into a risk-based tool. The resulting tool provides a clear way of assessing building-damage costs risk due to tunneling-induced settlements. This uses a BIM-based environment and incorporates 3D visualizations and an integrated analysis via MATLAB to reveal and highlight hazardous areas and the severity of economic risk along the tunneling route. This informs the need for additional ground investigations or secondary analyses to ensure engineering processes reduce or remove the risk of economic damage and advance sustainable decision-making.

KW - BIM

KW - Building damage costs

KW - Settlement economic risk

KW - Tunneling

KW - Uncertainty

UR - http://www.scopus.com/inward/record.url?scp=85096990292&partnerID=8YFLogxK

U2 - 10.3390/su122310034

DO - 10.3390/su122310034

M3 - Article

VL - 12

JO - Sustainability

JF - Sustainability

SN - 2071-1050

IS - 23

M1 - 10034

ER -