Technical Papers
Feb 5, 2020

Wind-Induced Hazard Assessment for Low-Rise Building Envelope Considering Potential Openings

Publication: Journal of Structural Engineering
Volume 146, Issue 4

Abstract

The light-frame low-rise buildings widely used for residential and industrial purposes are very vulnerable to high winds. Postdisaster surveys indicated that envelope components such as windows, doors, and roof sheathings suffer significant damages due to wind loads and windborne debris. Typically, the wind-induced damage process for a low-rise building is progressive with stochastic openings on the envelope. In this study, this progressive damage process is simplified as three stages, i.e., the nominally sealed building with background leakage, the partially enclosed building with multiple openings on walls, and the loss of roof sheathings. Based on this aforementioned three-stage process, a probabilistic wind-induced hazard assessment framework for the light-frame low-rise building envelope is developed. Specifically, two approaches, including the Monte Carlo simulation–based approach and the law of the total probability–based approach, are developed for hazard assessments of roof sheathings with the consideration of all potential opening conditions. A numerical example is adopted to illustrate the proposed framework. Results show that these two approaches assessing the wind-induced hazard for a low-rise building envelope are in good agreement, and the latter approach has an efficiency advantage.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request.

Acknowledgments

The support by the National Natural Science Foundation of China (Grant Nos. 51908014 and 51778546), 111 Project (Grant No. B18062), and the National Natural Science Foundation of China (Grant Nos. 51738001 and 51820105014) is greatly acknowledged.

References

ASCE. 2013. Minimum design loads for buildings and other structures. ASCE 7-02. Reston, VA: ASCE.
Barbato, M., F. Petrini, V. U. Unnikrishnan, and M. Ciampoli. 2013. “Performance-based hurricane engineering (PBHE) framework.” Struct. Saf. 45 (Nov): 24–35. https://doi.org/10.1016/j.strusafe.2013.07.002.
Cook, N. J., and J. R. Mayne. 1979. “A novel working approach to the assessment of wind loads for equivalent static design.” J. Wind Eng. Ind. Aerodyn. 4 (2): 149–164. https://doi.org/10.1016/0167-6105(79)90043-6.
Cope, A. D., K. R. Gurley, M. Gioffre, and T. A. Reinhold. 2005. “Low-rise gable roof wind loads: Characterization and stochastic simulation.” J. Wind Eng. Ind. Aerodyn. 93 (9): 719–738. https://doi.org/10.1016/j.jweia.2005.07.002.
Ellingwood, B. R., D. V. Rosowsky, Y. Li, and J. H. Kim. 2004. “Fragility assessment of light-frame wood construction subjected to wind and earthquake hazards.” J. Struct. Eng. 130: 1921–1930. https://doi.org/10.1061/(ASCE)0733-9445(2004)130:12(1921).
FEMA. 2009. Hurricane Ike in Texas and Louisiana: Mitigation assessment team report, building performance, observations, recommendations, and technical guidance. FEMA P-757. Washington, DC: FEMA.
FEMA. 2012. Hurricane model: Technical manual. HAZUS-MH 2.1. Washington, DC: FEMA.
Gierson, M. L., B. M. Phillips, D. Duthinh, and B. M. Ayyub. 2017. “Wind-pressure coefficients on low-rise building enclosures using modern wind-tunnel data and voronoi diagrams.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 3 (4): 04017010. https://doi.org/10.1061/AJRUA6.0000915.
Grayson, M., W. Pang, and S. Schiff. 2013. “Building envelope failure assessment framework for residential communities subjected to hurricanes.” Eng. Struct. 51 (2): 245–258. https://doi.org/10.1016/j.engstruct.2013.01.027.
Guha, T. K., R. N. Sharma, and P. J. Richards. 2012. “Internal pressure in a building with multiple dominant openings in a single wall: Comparison with the single opening situation.” J. Wind Eng. Ind. Aerodyn. 107–108 (Aug): 244–255. https://doi.org/10.1016/j.jweia.2012.04.023.
Gurley, K., J. P. Pinelli, C. Subramanian, A. Cope, L. Zhang, J. Murphreee, A. Artiles, P. Misra, S. Culati, and E. Simiu. 2005. Florida public hurricane loss projection model engineering team final report. Miami: International Hurricane Research Center, Florida International Univ.
Gurley, K. R., and F. J. Masters. 2011. “Post-2004 hurricane field survey of residential building performance.” Nat. Hazards Rev. 12 (4): 177–183. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000044.
He, H., G. Huang, J. Yin, and K. C. Mehta. 2015. “Application and validation of an asphalt shingle roofing damage estimation method.” J. Wind Eng. Ind. Aerodyn. 145 (Oct): 94–101. https://doi.org/10.1016/j.jweia.2015.06.007.
He, J., F. Pan, and C. S. Cai. 2017. “A review of wood-frame low-rise building performance study under hurricane winds.” Eng. Struct. 141 (Jun): 512–529. https://doi.org/10.1016/j.engstruct.2017.03.036.
He, J., F. Pan, C. S. Cai, A. Chowdhury, and F. Habte. 2018. “Progressive failure analysis of low-rise timber buildings under extreme wind events using a DAD approach.” J. Wind Eng. Ind. Aerodyn. 182 (Nov): 101–114. https://doi.org/10.1016/j.jweia.2018.09.018.
Holmes, J. D. 1979. “Mean and fluctuating internal pressures induced by wind.” In Proc., 5th Int. Conf. on Wind Engineering, 435–450. Fort Collins, CO: Colorado State Univ.
Huang, G., H. He, K. C. Mehta, and X. Liu. 2015. “Data-based probabilistic damage estimation for asphalt shingle roofing.” J. Struct. Eng. 141 (12): 04015065. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001300.
Huang, G., X. Ji, Y. Luo, and K. R. Gurley. 2016. “Damage estimation of roof panels considering wind loading correlation.” J. Wind Eng. Ind. Aerodyn. 155 (Aug): 141–148. https://doi.org/10.1016/j.jweia.2016.05.009.
Huang, G., X. Ji, H. Zheng, Y. Luo, X. Peng, and Q. Yang. 2018. “Uncertainty of peak value of non-Gaussian wind load effect: Analytical approach.” J. Eng. Mech. 144 (2): 04017172. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001402.
Ji, X., G. Huang, Y. Luo, and J. Zhang. 2018b. “Wind-induced roof fragility estimation considering wind loading correlation by Copula function.” J. Build. Struct. 39 (2): 138–145. https://doi.org/10.14006/j.jzjgxb.2018.02.016.
Ji, X., G. Huang, X. Zhang, and G. A. Kopp. 2018a. “Vulnerability analysis of steel roofing cladding: Influence of wind directionality.” Eng. Struct. 156 (Feb): 587–597. https://doi.org/10.1016/j.engstruct.2017.11.068.
Ji, X., X. Peng, G. Huang, and Y. Luo. 2018c. “Uncertainty analysis on peak value of wind-induced structural response of low-rise buildings.” China Civ. Eng. J. 51 (5): 68–74.
Lee, K. H., and D. V. Rosowsky. 2005. “Fragility assessment for roof sheathing failure in high wind regions.” Eng. Struct. 27 (6): 857–868. https://doi.org/10.1016/j.engstruct.2004.12.017.
Li, Y., and B. R. Ellingwood. 2006. “Hurricane damage to residential construction in the US: Importance of uncertainty modeling in risk assessment.” Eng. Struct. 28 (7): 1009–1018. https://doi.org/10.1016/j.engstruct.2005.11.005.
Lin, N., J. D. Holmes, and C. W. Letchford. 2007. “Trajectories of wind-borne debris in horizontal winds and applications to impact testing.” J. Struct. Eng. 133 (2): 274–282. https://doi.org/10.1061/(ASCE)0733-9445(2007)133:2(274).
Lin, N., and E. Vanmarcke. 2008. “Windborne debris risk assessment.” Probab. Eng. Mech. 23 (4): 523–530. https://doi.org/10.1016/j.probengmech.2008.01.010.
Lin, N., and E. Vanmarcke. 2010. “Windborne debris risk analysis. I: Introduction and methodology.” Wind Struct. 13 (2): 191–206.
Oh, J. H., and G. A. Kopp. 2014. “Modelling of spatially and temporally-varying cavity pressures in air permeable, double-layer roof systems.” Build. Environ. 82 (Dec): 135–150. https://doi.org/10.1016/j.buildenv.2014.08.008.
Oh, J. H., G. A. Kopp, and D. R. Inculet. 2007. “The UWO contribution to the NIST aerodynamic database for wind loads on low buildings. 3: Internal pressures.” J. Wind Eng. Ind. Aerodyn. 95 (8): 755–779. https://doi.org/10.1016/j.jweia.2007.01.007.
Pinelli, J. P., K. R. Gurley, C. S. Subramanian, S. S. Hamid, and G. L. Pita. 2008. “Validation of a probabilistic model for hurricane insurance loss projections in Florida.” Reliab. Eng. Syst. Saf. 93 (12): 1896–1905. https://doi.org/10.1016/j.ress.2008.03.017.
Pita, G., J. P. Pinelli, S. Cocke, K. Gurley, J. Mitrani-Reiserd, J. Weekesc, and S. Hamide. 2012. “Assessment of hurricane-induced internal damage to low-rise buildings in the Florida public hurricane loss model.” J. Wind Eng. Ind. Aerodyn. 104–106 (May): 76–87. https://doi.org/10.1016/j.jweia.2012.03.023.
Sadek, F., and E. Simiu. 2002. “Peak non-Gaussian wind effects for database-assisted low-rise building design.” J. Eng. Mech. 128 (5): 530–539. https://doi.org/10.1061/(ASCE)0733-9399(2002)128:5(530).
Twisdale, L. A., P. J. Vickery, and A. C. Steckley. 1996. Analysis of hurricane windborne debris risk for residential structures. Raleigh, NC: Applied Research Associates.
Unnikrishnan, V. U., and M. Barbato. 2016. “Performance-based comparison of different storm mitigation techniques for residential buildings.” J. Struct. Eng. 142 (6): 04016011. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001469.
Vickery, B. J., and C. Bloxham. 1992. “Internal pressure dynamics with a dominant opening.” J. Wind Eng. Ind. Aerodyn. 41 (1–3): 193–204. https://doi.org/10.1016/0167-6105(92)90409-4.
Yang, L., K. R. Gurley, and D. O. Prevatt. 2013. “Probabilistic modeling of wind pressure on low-rise buildings.” J. Wind Eng. Ind. Aerodyn. 114 (Mar): 18–26. https://doi.org/10.1016/j.jweia.2012.12.014.
Yang, Q., R. Gao, F. Bai, T. Li, and Y. Tamura. 2018. “Damage to buildings and structures due to recent devastating wind hazards in East Asia.” Nat. Hazard. 92 (6): 1–33.
Yau, S. C., N. Lin, and E. Vanmarcke. 2011. “Hurricane damage and loss estimation using an integrated vulnerability model.” Nat. Hazard. Rev. 12 (4): 184–189. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000035.
Zhang, X. Y., Y. G. Zhao, and Z. H. Lu. 2019. “Unified Hermite polynomial model and its application in estimating non-Gaussian processes.” J. Eng. Mech. 145 (3): 04019001. https://doi.org/10.1061/(ASCE)EM.1943-7889.0001577.

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 146Issue 4April 2020

History

Received: Feb 20, 2019
Accepted: Aug 13, 2019
Published online: Feb 5, 2020
Published in print: Apr 1, 2020
Discussion open until: Jul 5, 2020

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Authors

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Lecturer, Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing Univ. of Technology, Beijing 100124, China. Email: [email protected]
Guoqing Huang, A.M.ASCE [email protected]
Professor, School of Civil Engineering, Chongqing Univ., Chongqing 400044, China; Professor, School of Civil Engineering, Southwest Jiaotong Univ., Chengdu 610031, China (corresponding author). Email: [email protected]
Ph.D. Student, School of Civil Engineering, Southwest Jiaotong Univ., Chengdu 610031, China. Email: [email protected]
Zhao-Hui Lu [email protected]
Professor, Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing Univ. of Technology, Beijing 100124, China. Email: [email protected]

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