scholarly journals Influence of building characteristics on tunnelling-induced ground movements

2018 ◽  
pp. 75-86
Author(s):  
S. Ritter ◽  
G. Giardina ◽  
M. J. Dejong ◽  
R. J. Mair
Keyword(s):  
Ground Movements ◽  
Building Characteristics

scholarly journals Influence of building characteristics on tunnelling-induced ground movements

Géotechnique ◽  
2017 ◽  
pp. 1-12 ◽  
Author(s):  
S. Ritter ◽  
G. Giardina ◽  
M. J. DeJong ◽  
R. J. Mair
Keyword(s):  
Ground Movements ◽  
Building Characteristics

The Insured Cost of Ground Movements in France from 1995 to 2006

2014 ◽  
Author(s):  
CCline Grislain-Letrrmy ◽  
CCdric Peinturier
Keyword(s):  
Ground Movements

scholarly journals Quantitative Evaluation of Ground Movements Caused by Grouting during Shield Tunnelling in Clay

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Zhi-Feng Wang ◽  
Wen-Chieh Cheng ◽  
Ya-Qiong Wang
Keyword(s):  
Cylindrical Cavity ◽  
Radial Stress ◽  
Soft Soil ◽  
Tunnel Construction ◽  
Reliable Measure ◽  
Simple Method ◽  
Ground Movements ◽  
Tunnel Boring ◽  
Shield Tunnelling ◽  
London Clay

Grouting has been deemed as one of the most effective measures for mitigation of ground movements during tunnel construction in soft soil. Notwithstanding that, a reliable measure to quantitatively evaluate the grouting-induced ground movements during shield tunnelling in soft soil has not yet been developed. This paper presents a simple method capable of quantitatively estimating the ground movements associated with grouting for tunnel-boring operations where the grouting parameters and soil properties are taken into consideration. The grouting process is simplified as the expansion of a cylindrical cavity with a uniform radial stress applied at soil-grout interface in a half plane, and the analytical solution proposed by Verruijt is introduced for determining the ground movements by the expansion of the cylindrical cavity. The proposed method is verified with a case history undertaken in London Clay. The results obtained suggest that this procedure would be helpful in managing the grouting parameters adopted in upcoming soft ground tunnelling project and mitigating the environmental impacts on nearby properties.

scholarly journals Assessing the Energy Resilience of Office Buildings: Development and Testing of a Simplified Metric for Real Estate Stakeholders

Buildings ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 96
Author(s):  
Paul Mathew ◽  
Lino Sanchez ◽  
Sang Hoon Lee ◽  
Travis Walter
Keyword(s):  
Regression Models ◽  
Health And Safety ◽  
Office Buildings ◽  
Extreme Weather Events ◽  
Economic Losses ◽  
Power Outage ◽  
Continuity Of Operations ◽  
Quasi Monte Carlo ◽  
Building Characteristics ◽  
The Impact

Increasing concern over higher frequency extreme weather events is driving a push towards a more resilient built environment. In recent years there has been growing interest in understanding how to evaluate, measure, and improve building energy resilience, i.e., the ability of a building to provide energy-related services in the event of a local or regional power outage. In addition to human health and safety, many stakeholders are keenly interested in the ability of a building to allow continuity of operations and minimize business disruption. Office buildings are subject to significant economic losses when building operations are disrupted due to a power outage. We propose “occupant hours lost” (OHL) as a means to measure the business productivity lost as the result of a power outage in office buildings. OHL is determined based on indoor conditions in each space for each hour during a power outage, and then aggregated spatially and temporally to determine the whole building OHL. We used quasi-Monte Carlo parametric energy simulations to demonstrate how the OHL metric varies due to different building characteristics across different climate zones and seasons. The simulation dataset was then used to develop simple regression models for assessing the impact of ten key building characteristics on OHL. The most impactful were window-to-wall ratio and window characteristics. The regression models show promise as a simple means to assess and screen for resilience using basic building characteristics, especially for non-critical facilities where it may not be viable to conduct detailed engineering analysis.

Green Building, Green Behavior? An Analysis of Building Characteristics that Support Environmentally Responsible Behaviors

2020 ◽  
pp. 001391652094260
Author(s):  
Erin M. Hamilton
Keyword(s):  
Online Survey ◽  
Green Building ◽  
Built Environments ◽  
Sustainable Buildings ◽  
Natural Materials ◽  
Environmentally Responsible ◽  
Building Characteristics ◽  
Green Behavior ◽  
Environmentally Responsible Behaviors ◽  
Responsible Behaviors

This study examines the environmentally responsible behaviors (ERBs) of undergraduates ( n = 575). ERBs were measured in an online survey and the influence of situational context on behavior was explored at two scales: 1) green versus non-green building and 2) building characteristics. The Positive Sustainable Built Environments model was used to analyze three building characteristics: Prime, Permit, and Invite. Prime refers to characteristics that prepare occupants to adopt ERBs via communicating a sustainable ethos or restoring attentional capacity (e.g., use of natural materials and views to nature). Permit refers to features that allow occupants to conserve resources (e.g., operable light switches). Invite pertains to features that explicitly encourage ERBs (e.g., signage prompting occupants to turn off lights). Regression results demonstrated that living in a green building had no significant impact on ERBs. However, the Prime and Invite building characteristics significantly predicted improved Energy, Water, and Materials conservation. Results yield implications for designers seeking to create sustainable buildings that promote ERBs.

Ground Adaptability Characterization for Digging in Complex Geotechnical Conditions and Risk Mitigation

2011 ◽  
Vol 415-417 ◽  
pp. 1431-1434
Author(s):  
Wei Wei Yu ◽  
Xuan Guo
Keyword(s):  
Risk Factors ◽  
Control Method ◽  
Risk Mitigation ◽  
Tunnel Construction ◽  
Soil Pressure ◽  
Ground Movements ◽  
Construction Risk ◽  
And Control ◽  
Methods Of Control

Characterization of geotechnical digging and control the dynamical settlement is very necessary to mitigate construction risk. The metro tunnels of being constructed access to each other or near to the ground is high risk and physically difficult and costly. The control method becomes imperative. Some cases of digging prediction of ground movements and assessment of risk of damage to above or adjacent constructions have become an important issue especially in urban projec. Ground adaptability characterization is the key of control the tunneling in complex geotechnical conditions both in rock and soft stratum. High and changed water-soil pressure also is risk factors to effect tunneling process. Beside discussion of risk mitigation associate to tunnel construction, the developing settlement control and simulations are given to describe the methods of control risk.

scholarly journals Estimation of Outdoor PM2.5 Infiltration into Multifamily Homes Depending on Building Characteristics Using Regression Models

2021 ◽  
Vol 13 (10) ◽  
pp. 5708
Author(s):  
Bo-Ram Park ◽  
Ye-Seul Eom ◽  
Dong-Hee Choi ◽  
Dong-Hwa Kang
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Field Test ◽  
Outer Surface ◽  
Regression Models ◽  
Field Tests ◽  
Test Results ◽  
Correlation And Regression Analysis ◽  
Building Characteristics ◽  
Pm2.5 Concentration

The purpose of this study was to evaluate outdoor PM2.5 infiltration into multifamily homes according to the building characteristics using regression models. Field test results from 23 multifamily homes were analyzed to investigate the infiltration factor and building characteristics including floor area, volume, outer surface area, building age, and airtightness. Correlation and regression analysis were then conducted to identify the building factor that is most strongly associated with the infiltration of outdoor PM2.5. The field tests revealed that the average PM2.5 infiltration factor was 0.71 (±0.19). The correlation analysis of the building characteristics and PM2.5 infiltration factor revealed that building airtightness metrics (ACH50, ELA/FA, and NL) had a statistically significant (p < 0.05) positive correlation (r = 0.70, 0.69, and 0.68, respectively) with the infiltration factor. Following the correlation analysis, a regression model for predicting PM2.5 infiltration based on the ACH50 airtightness index was proposed. The study confirmed that the outdoor-origin PM2.5 concentration in highly leaky units could be up to 1.59 times higher than that in airtight units.

Wavelet analysis of remote sensing and discharge data for understanding vertical ground movements in sandy and clayey terrains of the Po Delta area (Northern Italy)

2017 ◽  
Vol 550 ◽  
pp. 386-398 ◽  
Author(s):  
Eleonora Vitagliano ◽  
Rosa Di Maio ◽  
Nicola Scafetta ◽  
Domenico Calcaterra ◽  
Davide Zanchettin
Keyword(s):  
Remote Sensing ◽  
Wavelet Analysis ◽  
Northern Italy ◽  
Discharge Data ◽  
Delta Area ◽  
Ground Movements ◽  
Vertical Ground ◽  
Po Delta
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