## 1 Introduction  
Finite element (FE) models are widely used in structural health monitoring, structural safety assessments, structural behavior predictions under in-service conditions and in extreme events, etc. [1]. As a technique to guarantee the fidelity of an FE model before use, FE model updating has been embraced by numerous numerical simulation processes [2]. In nature, the traditional FE model updating is a multi-variable optimization process to simultaneously identify many uncertain parameters with the initial FE model and to achieve the accurate reproduction of the measured modal parameters [3, 4, 5, 6, 7] or the measured static structural responses [6, 8, 9, 10] of the built structure at the same time. Although the traditional FE model updating technique is proven to be effective for use [3, 4, 5  
number of variables are generally not unique for the traditional FE model updating practice utilizing one complicated multi-variable mathematical or numerical model, possibly indicating their inveracities (the identified results might be local optimum values).  
To date, the construction processes of many large civil structures have been monitored for effective safety assessments and structural control [11; 12; 13; 14; 15]. For example, the stress development of the 610 m-high Guangzhou New Television Tower during construction was monitored by [PERSON] et al. [11]; temperature and displacement of the steel roof of Shenzhen Bay Stadium under construction was monitored by [PERSON] et al. [12]; the health conditions of some mass-timber buildings under construction were monitored according to a methodological approach by [PERSON] et al. [13]; an integrative structural health monitoring system was established by [PERSON] et al. for the local/global responses of a large-scale irregular building under construction [14]; monitoring of some bridges under construction was reported by [PERSON] et al. [15]. Therefore, the data with these structures in construction stages are abundant, which can be employed to enhance the reference information for the subsequent FE model updating of these structures. In addition, at each step in the structural construction process, only one or two uncertain parameters should be identified for model updating, which avoids the common unfavorable multi-variable optimization with the non-unique solutions. The long-span continuous girder bridge constructed using the cantilever casting method can be an example to validate the aforementioned scientific notion. For long-span continuous girder bridges constructed using the cantilever casting method, the development of the internal forces at the cantilever segments of the structure is frequently monitored throughout the construction process. This provides the opportunity that one uncertain structural parameter (generally the applied pre-stressed force in each stage) can be identified using construction monitoring data collected in each step for more effective parameter identifications.  
Under the engineering background of Huangsha Harbor Bridge, the notion of civil structural model updating using data collected from the construction monitoring is validated in this paper. After the FE model of Huangsha Harbor Bridge is updated through such a practice, the static structural responses obtained from the updated model are compared with the full-scale measurement results and those obtained from a baseline model updated using the traditional model updating method to directly show the effectiveness and the superiority of the proposed model updating practice. To the writers' knowledge, these works have rarely been conducted and reported by the engineering community before; however, they are of significant practical importance on the structural modeling and analyses of large civil structures.