Abstract

Overland flow from inundation events (IEs) such as hurricanes or tsunamis produce destructive loading conditions on nearshore structures. The magnitude of this loading and its associated impact can be substantially reduced by the existence of natural and/or anthropogenic obstacles, such as planted vegetation patches or neighboring structures. This paper examines the shielding effects offered by onshore coastal vegetation to nearshore structures, by establishing a numerical framework in combination with statistical computing methods to explore how vegetation properties, such as density and, more important, geometry relative to a row of shoreline infrastructure elements, impacts the resultant IE loads and subsequently the structural vulnerability. Computational fluid dynamics (CFD) simulations are first conducted to predict the intensity measures (IMs) of interest (momentum flux, free surface elevation, water pressure, and depth-averaged velocities, as well as base shear forces) on the shoreline structures for different excitation intensities (wave heights) and vegetation configurations. This information is used to develop a predictive model for the IMs using surrogate modeling techniques in order to expedite the succeeding risk assessment process. Gaussian process (GP) regression is specifically adopted as the surrogate modeling technique here, since it can accommodate noise in the training observations (CFD numerical errors) and quantify the associated predictive uncertainty (originating from the surrogate model) with minimal additional computational complexity. The spatial correlation between some of the examined IMs is explicitly addressed at the GP calibration stage. The developed predictive model is then used to estimate the structural vulnerability, with the surrogate model prediction errors explicitly considered when calculating the probability of exceedance for the different damage states, as warranted in such a vulnerability setting. Comparisons among different vegetation configurations, including the bare earth case, support an in-depth exploration of the impact of vegetation geometry on the shielding effects it can offer. Two case studies are examined, demonstrating applicability of the proposed framework for both system- and component-level vulnerability assessments.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

Some data (the numerical results obtained from the CFD simulations) that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was funded by the National Institute of Standards and Technology and by the National Science Foundation under Grants CMMI 17-09357 and CMMI-17-27662. This support is gratefully acknowledged. 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 funding agencies. The authors would also like to thank Alam et al. (2017) for providing the fragility curve data used in the second case study.

References

ACI (American Concrete Institute). 2008. Building code requirements for structural concrete (ACI 318-08) and commentary. Indianapolis: ACI.
Alagan Chella, M., A. B. Kennedy, and J. J. Westerink. 2020. “Wave runup loading behind a semipermeable obstacle.” J. Waterw. Port Coastal Ocean Eng. 146 (4): 04020014. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000569.
Alam, M. S., A. R. Barbosa, M. H. Scott, D. T. Cox, and J. W. van de Lindt. 2017. “Development of physics-based tsunami fragility functions considering structural member failures.” J. Struct. Eng. 144 (3): 04017221. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001953.
Anarde, K. A., S. Kameshwar, J. N. Irza, J. A. Nittrouer, J. Lorenzo-Trueba, J. E. Padgett, A. Sebastian, and P. B. Bedient. 2018. “Impacts of hurricane storm surge on infrastructure vulnerability for an evolving coastal landscape.” Nat. Hazard. Rev. 19 (1): 04017020. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000265.
Anderson, M. E., and J. M. Smith. 2014. “Wave attenuation by flexible, idealized salt marsh vegetation.” Coastal Eng. 83 (Jan): 82–92. https://doi.org/10.1016/j.coastaleng.2013.10.004.
Anderson, M. E., J. M. Smith, and S. K. McKay. 2011. Wave dissipation by vegetation. Washington, DC: USACE.
Anfuso, G., M. Postacchini, D. Di Luccio, and G. Benassai. 2021. “Coastal sensitivity/vulnerability characterization and adaptation strategies: A review.” J. Mar. Sci. Eng. 9 (1): 72. https://doi.org/10.3390/jmse9010072.
Ang, A. H., and W. H. Tang. 1975. Probability concepts in engineering planning and design, basic principles. Hoboken, NJ: Wiley.
Angel, R., D. P. Abrams, D. Shapiro, J. Uzarski, and M. Webster. 1994. Behavior of reinforced concrete frames with masonry infills. Urbana, IL: Univ. of Illinois.
Attary, N., J. W. van de Lindt, V. U. Unnikrishnan, A. R. Barbosa, and D. T. Cox. 2016. “Methodology for development of physics-based tsunami fragilities.” J. Struct. Eng. 143 (5): 04016223. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001715.
Bilionis, I., and N. Zabaras. 2012. “Multi-output local Gaussian process regression: Applications to uncertainty quantification.” J. Comput. Phys. 231 (17): 5718–5746. https://doi.org/10.1016/j.jcp.2012.04.047.
Bostanabad, R., T. Kearney, S. Tao, D. W. Apley, and W. Chen. 2018. “Leveraging the nugget parameter for efficient Gaussian process modeling.” Int. J. Numer. Methods Eng. 114 (5): 501–516. https://doi.org/10.1002/nme.5751.
Chang, C.-W., and N. Mori. 2021. “Green infrastructure for the reduction of coastal disasters: A review of the protective role of coastal forests against tsunami, storm surge, and wind waves.” Coastal Eng. J. 63 (3): 370–385. https://doi.org/10.1080/21664250.2021.1929742.
Dalrymple, R. A., J. T. Kirby, and P. A. Hwang. 1984. “Wave diffraction due to areas of energy dissipation.” J. Waterw. Port Coastal Ocean Eng. 110 (1): 67–79. https://doi.org/10.1061/(ASCE)0733-950X(1984)110:1(67).
Dubrule, O. 1983. “Cross validation of Kriging in a unique neighborhood.” J. Int. Assoc. Math. Geol. 15 (6): 687–699. https://doi.org/10.1007/BF01033232.
Forbes, K., and J. Broadhead. 2007. The role of coastal forests in the mitigation of tsunami impacts. Rome: Food and Agriculture Organization.
Goseberg, N., J. Stolle, I. Nistor, and T. Shibayama. 2016. “Experimental analysis of debris motion due the obstruction from fixed obstacles in tsunami-like flow conditions.” Coastal Eng. 118 (Dec): 35–49. https://doi.org/10.1016/j.coastaleng.2016.08.012.
Gramacy, R. B. 2020. Surrogates: Gaussian process modeling, design, and optimization for the applied sciences. Boca Raton, FL: Chapman and Hall/CRC.
Gramacy, R. B., and H. K. Lee. 2012. “Cases for the nugget in modeling computer experiments.” Stat. Comput. 22 (3): 713–722. https://doi.org/10.1007/s11222-010-9224-x.
Hatzikyriakou, A., N. Lin, J. Gong, S. Xian, X. Hu, and A. Kennedy. 2015. “Component-based vulnerability analysis for residential structures subjected to storm surge impact from Hurricane Sandy.” Nat. Hazard. Rev. 17 (1): 05015005. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000205.
Higuera, P. 2015. “Application of computational fluid dynamics to wave action on structures.” Ph.D. thesis, Departamento de Ciencas y Tecnicas del Agua y del Medio Ambiente, Universidade de Cantabria.
Jia, G., and A. A. Taflanidis. 2013. “Kriging metamodeling for approximation of high-dimensional wave and surge responses in real-time storm/hurricane risk assessment.” Comput. Methods Appl. Mech. Eng. 261 (Jul): 24–38. https://doi.org/10.1016/j.cma.2013.03.012.
Jia, G., A. A. Taflanidis, N. C. Nadal-Caraballo, J. A. Melby, A. B. Kennedy, and J. M. Smith. 2016. “Surrogate modeling for peak or time-dependent storm surge prediction over an extended coastal region using an existing database of synthetic storms.” Nat. Hazards 81 (2): 909–938. https://doi.org/10.1007/s11069-015-2111-1.
Jolliffe, I. T. 2002. Principal components in regression analysis. New York: Springer.
Kelty, K., T. Tomiczek, D. T. Cox, P. Lomonaco, and W. Mitchell. 2022. “Prototype-scale physical model of wave attenuation through a mangrove forest of moderate cross-shore thickness: Lidar-based characterization and Reynolds scaling for engineering with nature.” Front. Mar. Sci. 8 (Jan): 2044. https://doi.org/10.3389/fmars.2021.780946.
Kennedy, A., D. Cox, J. Irish, J. Kaihatu, P. Lynett, and T. Tomiczek. 2020. “Envisioning the future coast: Coastal engineering research in the coming decades.” In Proc., Coastal Engineering Research Framework Workshop. Alexandria, VA: US National Science Foundation.
Kijewski-Correa, T., D. Roueche, A. Kennedy, D. Allen, J. Marshall, J. Kaihatu, R. L. Wood, D. J. Smith, H. Lester, and M. Lochhead. 2022. “Impacts of Hurricane Dorian on the Bahamas: Field observations of hazard intensity and performance of the built environment.” Coastal Eng. J. 64 (1): 3–23. https://doi.org/10.1080/21664250.2021.1958613.
Kijewski-Correa, T. L., A. B. Kennedy, A. A. Taflanidis, and D. O. Prevatt. 2018. “Field reconnaissance and overview of the impact of Hurricane Matthew on Haiti’s Tiburon Peninsula.” Nat. Hazards 94 (2): 627–653. https://doi.org/10.1007/s11069-018-3410-0.
Kleijnen, J. P. 2009. “Kriging metamodeling in simulation: A review.” Eur. J. Oper. Res. 192 (3): 707–716. https://doi.org/10.1016/j.ejor.2007.10.013.
Klingner, R. E. 2017. Masonry structural design. New York: McGraw-Hill Education.
Komaraneni, S., D. C. Rai, and V. Singhal. 2011. “Seismic behavior of framed masonry panels with prior damage when subjected to out-of-plane loading.” Earthquake Spectra 27 (4): 1077–1103. https://doi.org/10.1193/1.3651624.
Kyprioti, A. P., C. Irwin, A. A. Taflanidis, N. C. Nadal-Caraballo, M. C. Yawn, and L. A. Aucoin. 2023. “Spatio-temporal storm surge emulation using Gaussian process techniques.” Coastal Eng. 180 (Mar): 104231. https://doi.org/10.1016/j.coastaleng.2022.104231.
Kyprioti, A. P., A. A. Taflanidis, and A. B. Kennedy. 2021a. “Dissipation effects of coastal vegetation on nearshore structures under wave runup loading.” J. Struct. Eng. 147 (3): 06020010. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002902.
Kyprioti, A. P., A. A. Taflanidis, M. Plumlee, T. G. Asher, E. Spiller, R. A. Luettich, B. Blanton, T. L. Kijewski-Correa, A. Kennedy, and L. Schmied. 2021b. “Improvements in storm surge surrogate modeling for synthetic storm parameterization, node condition classification and implementation to small size databases.” Nat. Hazards 109 (2): 1349–1386. https://doi.org/10.1007/s11069-021-04881-9.
Massel, S., K. Furukawa, and R. Brinkman. 1999. “Surface wave propagation in mangrove forests.” Fluid Dyn. Res. 24 (4): 219. https://doi.org/10.1016/S0169-5983(98)00024-0.
Maza, M., J. L. Lara, and I. J. Losada. 2015. “Tsunami wave interaction with mangrove forests: A 3-D numerical approach.” Coastal Eng. 98 (Apr): 33–54. https://doi.org/10.1016/j.coastaleng.2015.01.002.
Mazda, Y., M. Magi, M. Kogo, and P. N. Hong. 1997. “Mangroves as a coastal protection from waves in the Tong King Delta, Vietnam.” Mangroves Salt Marshes 1 (2): 127–135. https://doi.org/10.1023/A:1009928003700.
Melchers, R. E., and A. T. Beck. 2018. Structural reliability analysis and prediction. Hoboken, NJ: Wiley.
Mendez, F. J., and I. J. Losada. 2004. “An empirical model to estimate the propagation of random breaking and nonbreaking waves over vegetation fields.” Coastal Eng. 51 (2): 103–118. https://doi.org/10.1016/j.coastaleng.2003.11.003.
Moeini, M., and A. M. Memari. 2023. “Hurricane-induced failure mechanisms in low-rise residential buildings and future research directions.” Nat. Hazard. Rev. 24 (2): 03123001. https://doi.org/10.1061/NHREFO.NHENG-1544.
Morgan, P. A., L. Curci, C. Dalton, and J. Miller. 2005. Assessing the health of fringing salt marshes along the Fore River and its tributaries. Armidale, NSW, Australia: Univ. of New England.
Moris, J. P., O. Burke, A. B. Kennedy, and J. J. Westerink. 2023. “Wave–current impulsive debris loading on a coastal building array.” J. Waterw. Port Coastal Ocean Eng. 149 (1): 04022025. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000731.
Moris, J. P., A. B. Kennedy, and J. J. Westerink. 2021. “Tsunami wave run-up load reduction inside a building array.” Coastal Eng. 169 (Oct): 103910. https://doi.org/10.1016/j.coastaleng.2021.103910.
Murphy, K. P. 2012. Machine learning: A probabilistic perspective. Cambridge, MA: MIT Press.
Neumeier, U. 2005. “Quantification of vertical density variations of salt-marsh vegetation.” Estuarine Coastal Shelf Sci. 63 (4): 489–496. https://doi.org/10.1016/j.ecss.2004.12.009.
Park, H., D. T. Cox, and A. R. Barbosa. 2017. “Comparison of inundation depth and momentum flux based fragilities for probabilistic tsunami damage assessment and uncertainty analysis.” Coastal Eng. 122 (Apr): 10–26. https://doi.org/10.1016/j.coastaleng.2017.01.008.
Park, S., J. W. van de Lindt, D. Cox, and R. Gupta. 2012. “Concept of community fragilities for tsunami coastal inundation studies.” Nat. Hazard. Rev. 14 (4): 220–228. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000092.
Rahman, M. A., N. Tanaka, and A. Rashedunnabi. 2021. “Flume experiments on flow analysis and energy reduction through a compound tsunami mitigation system with a seaward embankment and landward vegetation over a mound.” Geosciences 11 (2): 90. https://doi.org/10.3390/geosciences11020090.
Rasmussen, C. E., and C. K. Williams. 2006. Gaussian processes for machine learning. Cambridge, MA: MIT Press.
Sacks, J., W. Welch, T. Mitchell, and H. Wynn. 1989. “Design and analysis of computer experiments.” Stat. Sci. 4 (4): 409–435.
Schobi, R., B. Sudret, and J. Wiart. 2015. “Polynomial-chaos-based Kriging.” Int. J. Uncertainty Quantif. 5 (2): 171–193. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2015012467.
Shi, F., J. T. Kirby, J. C. Harris, J. D. Geiman, and S. T. Grilli. 2012. “A high-order adaptive time-stepping TVD solver for Boussinesq modeling of breaking waves and coastal inundation.” Ocean Modell. 43 (Jan): 36–51. https://doi.org/10.1016/j.ocemod.2011.12.004.
Shuto, N. 1987. “The effectiveness and limit of tsunami control forests.” Coastal Eng. J. 30 (1): 143–153. https://doi.org/10.1080/05785634.1987.11924470.
Stolle, J., C. Krautwald, I. Robertson, H. Achiari, T. Mikami, R. Nakamura, T. Takabatake, Y. Nishida, T. Shibayama, and M. Esteban. 2020. “Engineering lessons from the 28 September 2018 Indonesian tsunami: Debris loading.” Can. J. Civ. Eng. 47 (1): 1–12. https://doi.org/10.1139/cjce-2019-0049.
Sundararajan, S., and S. S. Keerthi. 2001. “Predictive approaches for choosing hyperparameters in Gaussian processes.” Neural Comput. 13 (5): 1103–1118. https://doi.org/10.1162/08997660151134343.
Tanaka, N., Y. Igarashi, and T. Zaha. 2021. “Numerical investigation of the effectiveness of vegetation-embankment hybrid structures for tsunami mitigation introduced after the 2011 tsunami.” Geosciences 11 (11): 440. https://doi.org/10.3390/geosciences11110440.
Tanaka, N., Y. Sasaki, M. Mowjood, K. Jinadasa, and S. Homchuen. 2007. “Coastal vegetation structures and their functions in tsunami protection: Experience of the recent Indian Ocean tsunami.” Landscape Ecol. Eng. 3 (May): 33–45. https://doi.org/10.1007/s11355-006-0013-9.
Tomiczek, T., A. Kennedy, and S. Rogers. 2014. “Collapse limit state fragilities of wood-framed residences from storm surge and waves during Hurricane Ike.” J. Waterw. Port Coastal Ocean Eng. 140 (Nov): 43–55. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000212.
Tomiczek, T., A. Prasetyo, N. Mori, T. Yasuda, and A. Kennedy. 2016. “Physical modelling of tsunami onshore propagation, peak pressures, and shielding effects in an urban building array.” Coastal Eng. 117 (Nov): 97–112. https://doi.org/10.1016/j.coastaleng.2016.07.003.
Tomiczek, T., A. Wargula, P. Lomónaco, S. Goodwin, D. Cox, A. Kennedy, and P. Lynett. 2020. “Physical model investigation of mid-scale mangrove effects on flow hydrodynamics and pressures and loads in the built environment.” Coastal Eng. 162 (Dec): 103791. https://doi.org/10.1016/j.coastaleng.2020.103791.
Vuik, V., S. N. Jonkman, B. W. Borsje, and T. Suzuki. 2016. “Nature-based flood protection: The efficiency of vegetated foreshores for reducing wave loads on coastal dikes.” Coastal Eng. 116 (4): 42–56. https://doi.org/10.1016/j.coastaleng.2016.06.001.
Wang, X., L.-L. Xu, S.-H. Cui, and C.-H. Wang. 2020. “Reflections on coastal inundation, climate change impact, and adaptation in built environment: Progresses and constraints.” Adv. Clim. Change Res. 11 (4): 317–331. https://doi.org/10.1016/j.accre.2020.11.010.
Winter, A. O., M. S. Alam, K. Shekhar, M. R. Motley, M. O. Eberhard, A. R. Barbosa, P. Lomonaco, P. Arduino, and D. T. Cox. 2020. “Tsunami-like wave forces on an elevated coastal structure: Effects of flow shielding and channeling.” J. Waterw. Port Coastal Ocean Eng. 146 (4): 04020021. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000581.
Wu, W.-C., and D. T. Cox. 2015. “Effects of wave steepness and relative water depth on wave attenuation by emergent vegetation.” Estuarine Coastal Shelf Sci. 164 (Oct): 443–450. https://doi.org/10.1016/j.ecss.2015.08.009.
Wu, W.-C., and D. T. Cox. 2016. “Effects of vertical variation in vegetation density on wave attenuation.” J. Waterw. Port Coastal Ocean Eng. 142 (2): 04015020. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000326.
Zhang, Z., B. Huang, C. Tan, and X. Cheng. 2021. “A study on the drag coefficient in wave attenuation by vegetation.” Hydrol. Earth Syst. Sci. 25 (9): 4825–4834. https://doi.org/10.5194/hess-25-4825-2021.
Zhang, Z., A. B. Kennedy, and J. P. Moris. 2023. “Tsunami wave loading on a structural array behind a partial wall.” Coastal Eng. 179 (Jan): 104244. https://doi.org/10.1016/j.coastaleng.2022.104244.

Information & Authors

Information

Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 150Issue 8August 2024

History

Received: Apr 20, 2023
Accepted: Feb 19, 2024
Published online: Jun 7, 2024
Published in print: Aug 1, 2024
Discussion open until: Nov 7, 2024

Permissions

Request permissions for this article.

Authors

Affiliations

Assistant Professor, Departamento de Ingeniería Civil, Facultad de Ciencias de Ingeniería y Construcción, Universidad Católica del Norte, Antofagasta 1270709, Chile; Centro Nacional de Investigación para la Gestión Integrada de Desastres Naturales, ANID/FONDAP/1523A0009, Santiago, Chile (corresponding author). ORCID: https://orcid.org/0000-0001-9736-0237. Email: [email protected]
Assistant Professor, School of Civil Engineering and Environmental Science, Carson Engineering Center, Univ. of Oklahoma, Norman, OK 73019-1024. ORCID: https://orcid.org/0000-0002-2346-1307. Email: [email protected]
Ph.D. Student, Dept. of Civil and Environmental Engineering and Earth Sciences, Univ. of Notre Dame, Notre Dame, IN 46556. ORCID: https://orcid.org/0009-0003-2688-7498. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering and Earth Sciences, Univ. of Notre Dame, Notre Dame, IN 46556. ORCID: https://orcid.org/0000-0002-9784-7480. Email: [email protected]
Andrew B. Kennedy, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering and Earth Sciences, Univ. of Notre Dame, Notre Dame, IN 46556. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share