Hong Kong-Zhuhai-Macao Bridge Research Articles

Efficient Bayesian model updating for settlement prediction of the immersed tunnel of HZMB

To predict the settlement of the Hong Kong-Zhuhai-Macau Bridge (HZMB) tunnel, a physics-informed machine learning (PIML) algorithm was proposed. This method is effective in predicting total settlement with limited training data. However, its performance is poor when applied to the prediction of joint differential settlement, indicating that the commonly used physical model in the algorithm needs further updating. To ensure the efficiency of model updating, a synthetic case study is employed to demonstrate that prediction performance is inconsequential to the simplification of joint shear stiffness but rather to the insufficient number of foundation moduli in the physical model. Subsequently, five criteria are proposed to guide the model design process and guarantee the efficiency of model class selection. The PIML algorithm and the Bayesian probabilistic approach are then employed to select the most suitable model for predicting settlement. The results of model class selection indicate that the criterion related to tube differential settlement is the optimal choice for the HZMB tunnel, with an optimal number of 57 unknown foundation moduli in the updated model. The analysis with field data proves that the updated model class effectively improves predictions for both total settlement and joint differential settlement.

SAR-Transformer-based decomposition and geophysical interpretation of InSAR time-series deformations for the Hong Kong-Zhuhai-Macao Bridge

Time-series interferometric synthetic aperture radar (InSAR) provides a unique tool for measuring large-scale and long-term land surface deformation. Under the assumption of a single linear deformation model in conventional InSAR, it is difficult to quantify and interpret the impacts of multiple environmental factors that presumably induce nonlinear deformations. In this paper, we propose a SAR-Transformer method to decompose InSAR time-series signals into various physics-related components and apply the method to evaluate the deformation of the world's longest cross-sea bridge, the Hong Kong-Zhuhai-Macao Bridge (HZMB). We first developed an improved bridge geometry-based InSAR network to monitor the deformation of the HZMB using Sentinel-1 and COSMO-SkyMed images from 2019 to 2022, which were validated using the leveling and GPS data. The SAR-Transformer model was trained using synthetic InSAR time-series samples and applied to decompose the monitored InSAR measurements. Compared with that of conventional curve-fitting and seasonal-trend decomposition using LOESS, SAR-Transformer reduced the mean absolute error at least by 58.32% and mean absolute percentage error at least by 8.84% for time-series signal reconstruction. We evaluated the decomposed patterns according to the geotechnical, meteorological, and marine processes, and found that: 1) Seasonal thermal expansion owing to temperature changes was significant in all parts of the bridge, and deflection due to concrete shrinkage and creep was observed on cable-stayed bridges. 2) The artificial islands experienced evident ground subsidence with a decelerating trend. In particular, the newly adopted non-dredged reclamation method resulted in a lower decelerated settlement than that of fully-dredged reclamation areas. 3) The seawall showed linear horizontal movement from the outward stretching of the reclaimed soil consolidation and periodic displacement related to sea tidal loading. Furthermore, typhoons and coastal earthquakes had limited effects on the permanent movement of the bridge. These results improve the understanding of the interactions between artificial super-infrastructures and environmental factors, and provide valuable guidelines for the maintenance and management of the HZMB.

Settlement prediction of immersed tunnel considering time-dependent foundation modulus

The focus of immersed tunnel research has primarily revolved around settlement monitoring or prediction. However, there has been a lack of discussion regarding the time-dependent effects on settlement prediction, which could lead to obvious misjudgments in subsequent maintenance work. This paper addresses this issue by applying the physics-informed machine learning (PIML) algorithm to conduct an inverse analysis of the foundation modulus of the Hong Kong-Zhuhai-Macau Bridge (HZMB) tunnel, thereby identifying its variation tendency with time. The proposed time-dependent expression of foundation modulus demonstrates that the time-dependent effect is related to both post-construction settlement and the accumulation of back silting, which is significant and could persist throughout the entire service life of the HZMB tunnel. In further studies on settlement prediction for the HZMB tunnel, the results show that errors in prediction can exceed 30 mm at certain monitoring points. This error can be mitigated by considering the time-dependent effect, thereby significantly enhancing the reliability of predictions.

Experimental investigation of local scour around complex bridge pier of sea-crossing bridge under tidal currents

To study the process of local scour around the large-scale complex bridge pier under tidal currents, local scour experiments were carried out using the pile group-cap of the Hong Kong-Zhuhai-Macao Bridge (HZMB) as prototypes. The geological conditions at the bridge site were explored and the sampled soil was experimentally analyzed to determine the model sand. Based on the long-term observation data of tidal currents at the bridge site, a harmonic analysis of tidal currents was conducted to obtain the hydrodynamic characteristics of the tidal currents. Then a flume experiment of local scour around the large-scale pile groups under tidal currents was carried out. Research results indicate that the tidal currents velocity at the HZMB site exhibits the characteristic that the falling tide velocity is greater than the rising tide velocity. The frequency of the flow direction in the N and S directions is more significant. The tidal currents at the bridge site belong to the irregular semi-diurnal tide. The maximum depth of scour under tidal currents occurs on the side with highest velocity in the rising and falling tide process, and its value is slightly lower than the value under unidirectional flow. The duration of equilibrium scour under tidal currents is longer than under unidirectional flow. The shape of the equilibrium scour pit under tidal currents has changed from a circular arc shape on the upstream side to a saddle shape with deep ends and shallow middle, and has formed a longer sedimentation zone at both ends of the rising and falling tides compared to the situation under unidirectional flow. The size and layout of the pile foundation have a significant impact on the shape of the scour pits that achieve equilibrium scour.

Exploring Sustainable Operations Management in Major Infrastructure Projects: The Case of the Hong Kong-Zhuhai-Macao Bridge

This study systematically analyzes sustainable operations management (SOM) in major infrastructure projects (MIPs). The study proposes systematic definitions of MIP-SOM and studies sustainability improvement in MIP operations management from complex systems thinking. Based on literature review and deconstructive analysis, a conceptual model of the MIP-SOM system and an integrated framework for MIP-SOM practices were constructed. Additionally, per an in-depth case analysis of the Hong Kong-Zhuhai-Macao Bridge (HZMB), a progressive roadmap for the MIP-SOM was developed. These results offer a systematic theoretical framework to guide MIP-SOM implementation and provide a solution for the substantive improvement of MIP sustainability.

Just-in-Time Precast Production Scheduling Using Dominance Rule-Based Genetic Algorithm.

The objective of this study is to provide a model and method to assist fabricators in making appropriate precast production plans, coordinating factories prefabrication and on-site assembly in construction based on the just-in-time (JIT) philosophy. We propose a JIT precast production scheduling model for the precast production of steel box girders in the Hong Kong-Zhuhai-Macau (HZM) bridge construction project. In order to minimize the total early/tardy costs for this JIT scheduling model, we first present a job batching algorithm (JBA) to group series of jobs into several batches. Then, we model the batch cost function as a piecewise linear convex function and derive its optimal solution, which guides us to propose an optimal shifting algorithm (OSA) to locate the optimal starting time of each batch and minimize the batch cost. In order to get the best job sequence for minimizing the total early/tardy costs and improve search efficiency, we introduce a dominance rule for early/tardy scheduling problem and propose a dominance rule-based genetic algorithm (DBGA) embedded with an optimal timing algorithm, which can find the best job sequence as well as the corresponding optimal schedule. The real-world case study of HZM bridge project demonstrates that our proposed model and algorithm can assist construction practitioners to make better decision on precast production scheduling compared to empirical rule in current engineering practice. In addition, numerical studies prove that our proposed algorithm has a better performance on both effectiveness and efficiency due to the dominance rule.

A comprehensive operation and maintenance assessment for intelligent highways: A case study in Hong Kong-Zhuhai-Macao bridge

The integration of business flow status updates creates a framework for dynamically evaluating operation and maintenance activities, and that assessment is an essential component of achieving intelligent management and control. Highway managers have relied on the operation and maintenance system to integrate business initiatives that improve performance at the organizational and individual levels recently. There are a few studies considering the actual accident or road infrastructure to improve the quality of the highway, but they ignore the power of operation and maintenance (O&M) management involving multiple parties. Furthermore, there is no comprehensive scale to measure the effect of implementing management measures. Therefore, this paper aims to develop a comprehensive multidimensional evaluation framework that considers the integration of the actual business and the objective environment from four aspects: worker, equipment, environment, and management measures. The proposed framework evaluates the current O&M performance with the improved Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model, which is used to interpret the comprehensive index results, and highlights the differences and variations of the factors that influence the evaluation results based on the deconstruction analysis. We utilize a mixed dataset of the Hong Kong-Zhuhai-Macao Bridge (HZMB) for two consecutive years to evaluate the performance of each month. The results show that the evaluation framework can effectively measure the O&M performance, and “Worker- Quality of daily inspection work” was identified as the most critical factor affecting the O&M performance. In particular, a comprehensive multiparty operational status assessment helps to review and revise current management strategies for targeted improvements that will enhance the safety and quality of management.

Evaluating the interconnection performance of cross-regional road infrastructures based on an integrated micro-pattern approach with fuzzy linguistic operators

The dilemma of invalidating cross-regional road infrastructures (CRRIs) seriously impedes the flow of resources and affects its interconnection performance. However, the relations between the key driving force and referential improvement paths remain unclear, correspondingly, the combination set of options for improving CRRI interconnection is a major uncertainty embedded in the cross-regional collaboration period. To address this issue, this paper proposes an integrated case-based reasoning and fuzzy adversarial interpretive structure modeling (CBR-FAISM) framework to uncover micro-structural situational elements, match similar historical cases, and reveal the interactive mechanism of CRRI operation, in which the black box can be opened to find referential and reasonable solutions. The proposed framework was validated with Hong Kong–Zhuhai–Macao Bridge (HZMB) case. The findings indicatedthat the top five impact factors are mainly induced by governments and operators. The results also show that the improvement paths are period-oriented and should be done in the following order: communication links and feeder lines in the early period, collaboration in the middle period, micro-feeder mode in the mid-late period, and service level in the later period. This is the most significant insight of the proposed framework, which broadens the micro and macro understanding of regional transportation development.

Field Temperature Data Analysis of the Water Resistance Performance of Freeze-Sealing Pipe Roof Used in Tunnel through Water-Rich Strata

A new presupporting technology named freeze-sealing pipe roof (FSPR) method was adopted in the construction of Gongbei tunnel (Zhuhai, P.R. China), which was a critical part of Hong Kong-Zhuhai-Macau Bridge (HZMB). The method combined the pipe-roofing with artificial ground freezing (AGF). The water resistance performance of FSPR surrounded by water-rich soils was studied based on the field temperature data. The time-dependent temperature changes of the frozen soil between two adjacent pipes were presented, and the thicknesses of the frozen soil in different freeze period were calculated. Besides, the remote temperature monitoring system used in this field research was presented systematically. The thermal effects of the Hurricane Nicole on the frozen soil wall were also observed. The results showed that the closure of frozen soil wall can be classified into two different modes. The frozen soil between the pipes before excavation had met the design requirements before excavation, and the FSPR maintained satisfied water resistance performance.

Cross-Border Travel Behavior Analysis of Hong Kong-Zhuhai-Macao Bridge Using MXL-BMA Model

The Hong Kong-Zhuhai-Macao Bridge (HZMB) is an important transportation facility connecting Hong Kong, Zhuhai, and Macao. Thus, analyzing the characteristics of cross-border behavior becomes crucial for enhancing the smart travel experience of the HZMB. Discrete choice models (e.g., logit models) are commonly used to describe travel mode choice behavior. Multinomial logit (MNL) is subjected to the independence of irrelevant alternatives (IIA) assumption. Nested logit (NL) model does not consider the heterogeneity of travel individuals. Mixed logit (MXL) model can overcome the above limitations, but it may neglect model uncertainty. Therefore, a Bayesian model averaging (BMA) approach is applied to model travel mode choice behavior considering using revealed preference/stated preference (RP/SP) fusion data collected by questionnaires online. A structural equation model (SEM) is adopted to explore the potential relationship between latent variables, and two travel modes (i.e., cross-border bus and cross-border private car) are selected to analyze the cross-border travel mode choice of the HZMB. The results reveal that the MXL-BMA approach can better explain the cross-border travel mode choice behavior. And the transportation modes arriving and departing the HZMB have a significant impact on the travel mode choice of the HZMB. The findings of this study can provide suggestions for designing personalized travel services for travelers across the HZMB.

Biosonar activity of the Indo-Pacific humpback dolphin (Sousa chinensis) near the tunnel section of the world’s longest cross-sea bridge—the Hong Kong-Zhuhai-Macao Bridge—is negatively correlated with underwater noise

Underwater noise pollution from the world’s longest cross-sea bridge—the Hong Kong-Zhuhai-Macao Bridge (HZMB)—which stretches across the Chinese White Dolphin National Nature Reserve (of the People’s Republic of China, PRC) in the Pearl River Estuary may affect the distribution of local humpback dolphins. In this study, static passive acoustic monitoring was applied to monitor biosonar activity of humpback dolphins and underwater noise adjacent to the tunnel section of the HZMB for more than one year. During the monitoring period, dolphin biosonar signals were detected on 88.5% of days. A significant temporal pattern occurred in dolphin biosonar activity and in anthropogenic noise. Biosonar activity was significantly higher at night than during the day, whereas underwater noise occurred more in the day than at night. Significantly more echolocation signals were detected in winter-spring than in summer-autumn, and highest acoustic activity occurred significantly more during high tide than at other tidal periods. In addition, the negative correlation between elevated underwater noise and dolphin sonar activity in winter suggests that dolphins may avoid noisy waters for short periods, perhaps due to auditory stress, but fish prey movement cannot be ruled out. These findings facilitate understanding activity patterns of humpback dolphins in the Pearl River Estuary and may contribute to conservation efforts.

The supportability evaluation of cross-regional major infrastructure projects based on the combination weighting of the game theory–cloud model

PurposeThis study aims to establish an evaluation method for cross-regional major infrastructure project (CRMIP) supportability. The focus is to identify evaluation indicators from a complexity perspective and develop an evaluation model using qualitative and quantitative methods. Case studies are carried out to verify the reliability of the evaluation model, thereby providing theoretical and practical guidance for CRMIP operations and maintenance (O&M).Design/methodology/approachGuided by the idea of complexity management, the evaluation indicators of CRMIP supportability are determined through literature analysis, actual O&M experience and expert interviews. A combination of qualitative and quantitative methods, consisting of sequential relationship analysis, entropy weighting, game theory and cloud model, is developed to determine the indicator weights. Finally, the evaluation model is used to evaluate the supportability of the Hong Kong–Zhuhai–Macao Bridge (HZMB), which tests the rationality of the model and reveals its supportability level.FindingsThe results demonstrate that CRMIPs' supportability is influenced by 6 guideline-level and 18 indicator-level indicators, and the priority of the influencing factors includes “organization,” “technology,” “system,” “human resources,” “material system,” and “funding.” As for specific indicators, “organizational objectives,” “organizational structure and synergy mechanism,” and “technical systems and procedures” are critical to CRMIPs' O&M supportability. The results also indicate that the supportability level of the HZMB falls between good and excellent.Originality/valueUnder the guidance of complexity management thinking, this study proposes a supportability evaluation framework based on the combined weights of game theory and the cloud model. This study provides a valuable reference and scientific judgment for the health and safety of CRMIPs' O&M.

The Influence of the Hong Kong-Zhuhai-Macao Bridge on Visitors Motivation and Willingness to Use Land Transport

ABSTRACT The Hong Kong-Zhuhai-Macao Bridge (HZMB) has been recognized as the eighth wonder of the 21st century. This research has used a quantitative approach through a questionnaire. A regression analysis has been conducted on HZMB users and tourists from GBA, to explore their different traveling behavior in terms of transport patterns and potential contextual factors influencing their perception and behavior. Findings illustrated that the HZMB has provided added convenience to tourists and encouraged visits to tourism attractions in the GBA cities. The research findings induce holistic significance to the area of sustainable tourism from the perspectives of regional integration and the development of transport infrastructure.

Settlement characteristics of immersed tunnel of Hong Kong–Zhuhai–Macau Bridge project

The settlement performance of an immersed tunnel in the Hong Kong–Zhuhai–Macau Bridge (HZMB) transportation project is described. The geological profile underlying the immersed tunnel is presented and the corresponding field monitoring system is introduced. The function of semi-rigid elements is analysed. The observed results related to longitudinal deformation patterns during construction (e.g. long-term settlement, differential settlement and structural behaviour) are described and analysed. Differential settlement occurred when there was a large variation in soil properties, at the joints of two adjacent elements and in different segments of the same element. Differential settlement occurred in both the longitudinal and transverse direction. During the operational period, permanent settlement was strongly related to back-silting. Tide loading and the immersion of adjacent elements may have caused transient settlement related to elastic deformation, but tide loading had less influence on the permanent settlement.

Drivability of Large Diameter Steel Cylinders During Hammer-Group Vibratory Installation for the Hong Kong–Zhuhai–Macao Bridge

The Hong Kong–Zhuhai–Macao Bridge (HZMB) involved the installation of 120 mega-cylinders with a diameter of 22 m, weights up to 513 tonnes, and penetration depths up to 33 m using an eight-vibratory hammer group. Due to the lack of engineering experience on the drivability of large-diameter cylinders under multiple vibratory hammers, predicting the penetration rate and time of steel cylinders is an open challenge that has a considerable impact on the construction control of the HZMB. In this study, the vibratory penetration of large-diameter steel cylinders in the HZMB is investigated based on geological surveys, field monitoring, and drivability analysis. The vibratory penetration rate, installation accuracy, and dynamic responses of the steel cylinders at both the eastern and western artificial islands are analyzed. The dynamic soil resistance has a great influence on the cylinder drivability. However, the current design methods for estimating the vibratory driving soil resistance are proven inaccurate without considering the scale effects. Therefore, a modified method with a normalized effective area ratio A¯r,eff is proposed in this study to calculate the vibratory soil resistance for open-ended thin-wall cylinders under unplugged conditions. Considering the scale effects on the vibratory driving soil resistance, the proposed method leads to closer results to the measured data, providing a reference for future engineering practice.

Unsteady-State Conjugate Heat Transfer Model of Freeze-Sealing Pipe Roof Method and Sensitivity Analysis of Influencing Factors of Freezing Effect

The freeze-sealing pipe roof (FSPR) method has been applied to the Gongbei tunnel of the Hongkong–Zhuhai–Macau Bridge, which is the first application of this method in the world. The purpose of the ground-freezing method is soil waterproofing. Temperature is an important indicator for measuring the freezing effect; however, the FSPR method involves unsteady-state conjugate heat transfer between frozen soil, steel pipes, concrete, air, and other media. This paper proposes an unsteady-state conjugate heat transfer model and establishes a global solution algorithm of a strong coupling governing equation based on the virtual density method. Then, a calculation based on COMSOL software is realized and validated. The sensitivity of different factors such as initial formation temperature, different soil layers, and brine temperature on the freezing effect was studied by simulating the FSPR model. It is concluded that the brine temperature had a greater impact on the freezing effect, followed by the soil layer, whereas the formation temperature had the least impact. For muddy silty clay, if the brine temperature is −20 °C, it takes 44 days to meet the design requirements of 2 m. If the brine temperature is −30 °C, 27 days is enough. When the formation temperature is 20 °C, it takes 20 days for medium gravel sand to reach the thickness of the freezing curtain, and 32 days for muddy silty clay. Compared to other soil layers, the freezing effect of the medium gravel sand is relatively better. This research has a certain impetus to similar multimedia freezing heat transfer issues.

Conditional simulation of non-stationary spatially variable ground motions for long-span bridges across non-uniform site conditions

Non-stationary spatially variable ground motions (SVGMs) are commonly modelled as multivariate oscillatory processes based on evolutionary power spectral density (EPSD) functions. The existing conditional simulation algorithms require the known EPSD functions. The EPSD functions are usually assumed to be identical for all locations, which is unreasonable for long-span bridges because variable soil conditions are practically observed at different bridge piers. This paper proposes a conditional simulation algorithm for non-stationary SVGMs in consideration of non-uniform site conditions. The spatial interpolation tool, termed inverse-distance-weighted (IDW) interpolation, is introduced to estimate the EPSD functions at sites without ground motion measurement. Subsequently, the covariance matrix of the random Fourier coefficients of the multivariate oscillatory processes can be calculated. The Kriging estimation is adopted to obtain the unknown random Fourier coefficients, from which the time histories of the non-stationary SVGMs can be conditionally simulated. The proposed conditional simulation algorithm is first validated through a numerical example, in which the EPSD functions of non-uniform sites are represented by a non-stationary Kanai-Tajimi spectrum with different soil parameters. Then, the algorithm is applied to the Jiuzhou Channel Bridge, a navigation channel bridge of the Hong Kong-Zhuhai-Macau Bridge (HZMB), with complex soil and water conditions. Based on the limited in-situ seismic measurement data, the site characteristics in the bridge area are analysed, and the ground motion time histories at all piers can be generated.

Dynamic Warning Method for Structural Health Monitoring Data Based on ARIMA: Case Study of Hong Kong-Zhuhai-Macao Bridge Immersed Tunnel.

Structural health monitoring (SHM) is gradually replacing traditional manual detection and is becoming a focus of the research devoted to the operation and maintenance of tunnel structures. However, in the face of massive SHM data, the autonomous early warning method is still required to further reduce the burden of manual analysis. Thus, this study proposed a dynamic warning method for SHM data based on ARIMA and applied it to the concrete strain data of the Hong Kong–Zhuhai–Macao Bridge (HZMB) immersed tunnel. First, wavelet threshold denoising was applied to filter noise from the SHM data. Then, the feasibility and accuracy of establishing an ARIMA model were verified, and it was adopted to predict future time series of SHM data. After that, an anomaly detection scheme was proposed based on the dynamic model and dynamic threshold value, which set the confidence interval of detected anomalies based on the statistical characteristics of the historical series. Finally, a hierarchical warning system was defined to classify anomalies according to their detection threshold and enable hierarchical treatments. The illustrative example of the HZMB immersed tunnel verified that a three-level (5.5 σ, 6.5 σ, and 7.5 σ) dynamic warning schematic can give good results of anomalies detection and greatly improves the efficiency of SHM data management of the tunnel.

Blast resistance of a folded arch cross-section immersed tunnel subjected to internal explosion

With the completion of the subsea immersed tunnel of the Hong Kong–Zhuhai–Macao Bridge (HZMB), the tunnel structure in a closed environment for a long time will inevitably be threatened by sudden extreme accidents such as car accidents and car bombs. However, intensive research efforts have been devoted to understanding their performance under service and seismic loads, and the vulnerability of the tunnels against accidental blast loads is seldom discussed. The present study performs an immersed tunnel model of HZMB was constructed at a scale of 1:5 to carry out the explosion test. The results showed that after an internal explosion of a van-type bomb, the roof subsidence of the tunnel model doubled under the same water pressure. The test also revealed that the peak overpressure load on the roof was up to 50 MPa, which showed the multi-peak characteristics, and evident cracks appeared on the top slab and at the junction of the roof and middle wall. In addition, based on the fully verified constitutive model of high strain rate materials, a refined finite element model was established. The propagation characteristics of the blast wave in the tunnel, dynamic response characteristics, and failure process and modes of the tunnel structure were discussed in the developed FE model. The results showed that the ultimate blast resistance of the tunnel model was 41.8 kg TNT (scaled distance is 0.363 m/kg1/3). Furthermore, a resonance effect was observed between the middle wall and roof. The deformation and damage of the roof could be significantly reduced for the explosion height of 1.06–1.25 m. This height range could be very useful for developing traffic standards guiding the safe transportation of hazardous chemicals in tunnels. Based on the numerical and test data, four blast damage levels were finally identified and categorized according to the scaled distance to the tunnel roof.

Evaluating and selecting the supplier in prefabricated megaprojects using extended fuzzy TOPSIS under hesitant environment: a case study from China

PurposePrefabricated components sustainable supplier (PCSS) selection is critical to the success of prefabricated projects. However, limited studies have addressed the uncertainty and complexities during the selection process, particularly in multi-criterion group decision-making (MCGDM) circumstances. Hence, the research aims to develop a group decision-making model using a modified fuzzy MCGDM approach for PCSS selection under uncertain situation.Design/methodology/approachThe proposed study develops a framework for sorting decisions in PCSS selection by using the hesitant fuzzy technique for order preference by similarity to ideal solution (HF-TOPSIS) method. The maximum consistency (MC) model is used to calculate the weights of decision makers (DMs) based on the cardinality and sequence of decision data.FindingsThe proposed framework has been successfully applied and illustrated in the case example of CB01 contract section in Hong Kong-Zhuhai-Macao Bridge (HZMB) megaproject. The results show various complicated decision-making scenarios can be addressed through the proposed approach. The MC model is able to calculate the weights of DMs based on the cardinality and sequence of decision data.Originality/valueThe research contributes to improving accuracy and reliability decision-making processes for PCSS selection, especially under hesitant and fuzzy situations in prefabricated megaprojects.