###### Abstract
At present, in terms of the fragility analysis of the transmission tower, structural fragility under seismic loading has been widely studied [6, 7, 8], but research on wind-induced fragility is still relatively rare. In particular, the wind-induced fragility analysis of  
Figure 1: Marine atmospheric corrosion mechanism of steel. Figure 2: Industrial atmospheric corrosion mechanism of steel. the transmission tower, considering the effects of the long-term corrosion of steel members, is almost nonexistent. [PERSON] [9] analyzed the wind-induced fragility of the transmission tower based on a pushover analysis and incremental dynamic analysis (IDA) and studied the collapse resistance of the transmission tower. [PERSON] [10] generated the wind load series of the transmission tower based on the linear filter method and conducted a wind-induced fragility study of the transmission tower to determine the wind resistance performance. [PERSON] et al. [11] studied the structural fragility of the transmission tower under the joint action of wind and rain loads. [PERSON] et al. [12] proposed a Bayesian approach to assess the discharge failure probability of overhead transmission lines under typhoon hazards. Based on full-scale measurement data collected during the two strong typhoons of Talim (1718) and Kong-rey (1825), the wind-induced fragility of a full-scale transmission line was updated using the proposed approach. In addition, Ningbo is seriously affected by typhoon disasters every year. For example, the Super Typhoon Lekima hit Ningbo in 2019, causing 408 houses to collapse and 1594 houses to be damaged citywide. It is necessary to carry out a typhoon-induced fragility analysis for local corroded transmission towers to ensure safety during operations. Benefiting from the rapid growth of the Monte Carlo method and computer technology, extreme typhoon wind speed simulations have mushroomed in the past twenty years, which is mainly composed of two parts: (1) typhoon track simulation and (2) wind field simulation. [PERSON] et al. [13] pioneered a full-track method to generate synthetic hurricane tracks from genesis to lysis based on the historical track records in the National Hurricane Center's North Atlantic hurricane database (HURDAT). The development and utilization of the full-track models for wind hazard assessments have since been considered and expanded ([PERSON] et al. [14]; [PERSON] and [PERSON] [15]; [PERSON] et al. [16]; [PERSON] and [PERSON] [17]; [PERSON] et al. [18]; [PERSON] and [PERSON] [19; 20]; [PERSON] and [PERSON] [21]). So far, storm tracks can be synthesized rapidly from purely statistical intensity algorithms. However, the effects of natural or anthropogenic climate changes could not be encompassed through the above empirical models. Today, some novel intensity models considering environment variables that can be obtained from reanalysis or global climate models have the potential to estimate future wind hazards under future climate projections. [PERSON] and [PERSON] [22] developed a hidden Markov model (MeHiM), which is dependent on the surrounding large-scale environment, such as vertical wind shear, relative humidity and ocean feedback from the reanalysis to simulate the whole process of hurricane intensity evolution. [PERSON] et al. [23] verified the applicability of MeHiM in the Northwest Pacific Ocean and presented a general framework of a typhoon full-track simulation. For engineering applications, the wind field model can be classified as the gradient wind field model [17] and the planetary boundary layer (PBL) model [18; 19; 24]. [PERSON] et al. [24] proposed an analytical model with an upper inviscid layer of cyclostrophic balance and a lower friction layer to calculate the wind field in a moving typhoon boundary layer. [PERSON] and [PERSON] [25] upgraded a PBL model by increasing the spatial resolution to simulate a wider variety of radial pressure and wind profile forms.