Abstarct:   Floods are one of the natural disasters that usually cause financial losses and many lives. Construction damage is one of the most important types of damage. Simulating the flood in the area and estimating the resulting construction damage is one of the necessary measures in urban flood management. In this regard, this research deals with the estimation of structural flood damage using the depth-damage function in the city of Gombad Kavus. In order to achieve this goal, first by using field data in the Kavus Dome area, by filling in a questionnaire from local people, the flood depth data, the amount of damage, and the coordinates of each point were collected. Then the depth-damage function was extracted by data analysis. Then, by simulating the flood by HEC-RAS software, the depth of the flood was estimated at every point of the region, and finally, by combining the results of the flood simulation and the damage function in ArcGIS, a flood damage map was extracted for the Kavus Dome area. The results showed that the best function for estimating flood structural damage for the body of the building and the damage to equipment among the linear, logarithmic, power, polynomial and exponential functions, according to the correlation coefficient, the distribution of the data and the physics of the problem, the polynomial function It is a sentence. The value of the correlation coefficient for the body of the building and household appliances is equal to 0.7502 and 0.7703, respectively. The results of the combination of flood simulation and depth-damage function, in other words, the estimation of structural flood damage for the return periods of 2, 5, 10, 25, 50, 100, 200 and 500 years, as well as the flood of 1998, showed that the maximum amount of damage in sample section 1 equal to 44, 55, 66, 100, 100, 100, It is 100, 100, 100 percent. The average damage for the period of the above returns in sample 1 is equal to 32, 48, 55, 84, 93, 100, 100, 100 and 100 percent respectively. Also, the results of the damage estimation for household appliances for the 2nd, 5th, 10th, 25th, 50th, 100th, 200th, 500th and flood of 1998 showed that the maximum amount of damage in the section of sample 1 is equal to 42, 53, 65, respectively. 100, 100, 100, 100, 100 and 100 percent. The average damage for household items for the above returns period in sample 1 is 31, 47, 54, 86, 98, 100, 100, 100 and 100 percent respectively. With the method presented in this research, it is possible to obtain the amount of flood damage at any point of Dakhah, as well as the map of flood damage for the region.