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Lifeline infrastructure systems such as a power transmission network incoastal regions are vulnerable to strong winds generated during tropicalcyclones. Understanding the fragility of individual towers is helpful inimproving the resilience of such systems. Fragility curves have been developedin the past for some regions, but without considering relevant epistemicuncertainties. Further, risk and resilience studies are best performed usingthe fragility curves specific to a region. Such studies become particularlyimportant if the region is exposed to cyclones rather frequently. This paperpresents the development of fragility curves for high-voltage powertransmission towers in the state of Odisha, India, based on macro-level damagedata from 2019 cyclone Fani, which was obtained through concerned governmentoffices. Two types of damages were identified, namely, collapse and partialdamage. Accordingly, fragility curves for collapse and functionality disruptiondamage states were developed considering relevant aleatory and epistemicuncertainties. The latter class of uncertainties included that associated withwind speed estimation at a location and the finite sample uncertainty. The mostsignificant contribution in the epistemic uncertainty was due to the wind speedestimation at a location. The median and logarithmic standard deviation for the50th percentile fragility curve associated with collapse was close to that forthe functionality disruption damage state. These curves also comparedreasonably well with those reported for similar structures in other parts ofthe world.

Fragility curves for power transmission towers in Odisha, India, based on observed damage during 2019 Cyclone Fani