Structural Dynamic Performance Research Articles

Experimental and numerical investigations on the mechanical properties of precast segmental barriers with UHPC connections

A novel precast segmental barrier system was proposed to facilitate the connections between barriers and between the barrier and bridge deck by casting ultra-high-performance concrete joints in situ. To assess the performance of the barrier with this connection, a full-scale pseudo-static tests were conducted. At the same time, a comparative assessment was considered the failure mode and load capacity of the precast barrier for two different bridge deck stiffnesses. The results indicated that the ultimate capacity of the precast barrier was comparable to that of a traditional cast-in-place barrier and emphasised the critical role of the deck slab stiffness in the overall load capacity. Based on the damage patterns observed in the barrier and deck slab during the pseudo-static tests, a refined trapezoidal yield-line model considering the deck slab stiffness contribution was derived to more accurately evaluate the load capacity of a precast segmental barrier. Moreover, the calibrated numerical model of the barrier system was employed to investigate the structural dynamic performance under varying scenarios, specifically examining the effects of different impact masses and velocities. Numerical results demonstrated that upon impact by a high-mass, high-velocity object, the barrier experienced a shift in damage mode from flexural–shear to more critical punching shear. This transition concentrated the dynamic load exclusively on the impacted barrier segment, which in turn markedly diminished its dynamic load capacity.

Multi-scale design of composite material structures for maximizing fundamental natural frequency

This study deals with the topology optimization (TO) of linear elastic composite structures considering fundamental natural frequency maximization. The concept of functionally graded structures (FGS) is used for anisotropic composite material structure design to improve the structural dynamic performance. The rational approximation of material properties (RAMP) method was employed as an alternative to the solid isotropic material with penalization (SIMP) method to improve the convergence stability for eigen-frequency problem. In the SIMP method, the occurrence of local eigen-modes at low frequencies in the void region causes ill-convergence, whereas the RAMP method prevents local eigen-modes from occurring. The method of moving asymptotes is used as an optimizer. Numerical verification was performed for three structural types: cantilever beam, double-clamped beam, and four-pinned beam structure. In addition, for cantilever beam design, bi-objective optimization for maximizing fundamental natural frequency as well as minimizing structural compliance was performed using the adaptive weighting method that quantitatively reflects the designer's preference by adjusting the weight for each objective function at each iteration.

Integrating physics-informed machine learning with resonance effect for structural dynamic performance modeling

Accurate prediction the dynamic response of structures under various loads is a complex and challenging task due to the uncertainties and intricacies of loading scenarios and analysis methods. Traditional approaches to structural analysis and modeling often rely on physics-based simulations, which can be computationally expensive and time-consuming. Over the years, Machine Learning (ML) methods have proven to be a formidable tool for data-driven modeling, based on in-situ monitoring data. However, these ML models are generally purely data-driven, lacking consideration for relevant physical information such as dynamic characteristics. Hence, this paper proposes a Physics-Informed Machine Learning (PIML) approach for modeling structural dynamic performance. This method embeds resonance effect, a crucial piece of physical information in real-world engineering, into the design of the multilayer perceptron (MLP) loss function. The model is validated through numerical simulations of forced vibrations in a single-degree-of-freedom system and a vehicle-bridge coupled system. The results indicate that the proposed PIML can model the system dynamic response effectively and simulate resonance effect at key frequency-domain locations accurately. Subsequently, features are extracted from the real-world monitoring data of a high-rise building dynamic response during Typhoon Hato, and PIML is applied for training. The results reveal that PIML significantly outperforms pure ML algorithms, even with a small dataset, and can effectively capture resonance effect in wind-induced vibrations. Using a well-trained PIML, a parameter analysis is conducted, comparing the dynamic performance under different wind speeds and frequency conditions. Lastly, considering the variation in wind parameters due to climate change, PIML is employed to analyze long-term structural fragility. The findings indicate significant changes in fragility from 1985 to 2045. In conclusion, the proposed PIML algorithm offers several advantages over conventional methods, such as reduced computational costs, improved accuracy, and the ability to capture complex nonlinear behaviors and resonance effect of interest, and efficiently serve in analyses of structural reliability and fragility.

A comprehensive review of ultra-high performance concrete (UHPC) behaviour under blast loads

Blasts resulted from industrial/residential accidents and deliberate attacks can impose extremely hazardous loading conditions upon nearby structures. The repercussions of these blasts encompass not only direct effects such as blast overpressure and fragments but also indirect outcomes like progressive collapse of structures. In the pursuit of enhanced protection for concrete structures, substantial endeavors have been directed towards developing innovative construction materials with outstanding properties, among which the ultra-high performance concrete (UHPC) has emerged as a notable representative. Drawing from existing experimental, numerical and theoretical studies, this paper presents an inclusive overview of recent progress in UHPC structural members (slabs, beams and columns) and UHPC-based composite structures (mesh reinforced UHPC, UHPC-filled steel tube and UHPC strengthening of normal reinforced concrete (NRC) structures) in their ability to withstand blast loads. While discussing the exceptional material and structural dynamic performance of UHPC, recommendations are offered for the further research directions in utilising UHPC structures to resist blast loads, which include exploring eco-friendly UHPC, integrating 3D printing technology and employing machine learning analytical methods.

Experimental Investigation and Damage Identification of High-Pile Wharf Framed Bents under Horizontal Impact Loads.

This study investigates damage characteristics, dynamic structural performance changes, and quantitative damage assessment of high-pile wharf framed bents exposed to horizontal impact loads. Through extensive testing of wharf framed bents under such loads, a damage identification approach based on stiffness, natural vibration period, and acceleration data derived from experiments is presented. The findings reveal that under horizontal impact loads, framed bents initially exhibit tensile damage and leaning piles, followed by short straight piles. Additionally, structural damage results in a reduced self-oscillation frequency and an increased amplitude decay rate. Both stiffness-based and cycle-based damage indicators effectively track the cumulative damage progression of the structure. However, the cycle-based damage indicators demonstrate superior stability and accuracy, while acceleration-based indicators precisely identify the moment of damage mutation. This research contributes to enhancing local components, implementing damage identification methods, and advancing health monitoring practices in high-pile wharf projects, aligning with the standards of scientific publications in the field.

Dynamic performance of structures with clutching inertia‐damping system: Theoretical study

AbstractThis paper addresses performance limitations in passive clutching inertia devices due to the absence of flywheel deceleration damping. A solution introducing viscous damping to serve as the flywheel deceleration mechanism is proposed, thus forming the “CIDS” (Clutching Inertia‐Damping System). The study establishes a multi‐body motion analysis model for the CIDS within a single‐degree‐of‐freedom structure. Simulations investigate the impact of control force model parameters on the computation. The impact of additional damping on structural dynamic responses and the system's relative motion is thoroughly elucidated and revealed through dynamic simulations and multi‐body motion decomposition. The “ELS” (Equivalent Linear System) is introduced for the simplified performance assessment of CIDS. Expressions for equivalent damping and inertance are derived based on the equivalence of vibration period and energy in sinusoidal steady‐state vibration. The feasibility and accuracy of ELS for assessing CIDS's performance are validated through response analyses under harmonic and seismic excitations. Notably, displacement indicators exhibit higher precision than acceleration. When subjected to seismic excitation, selecting a more suitable excitation frequency to determine the corresponding equivalent damping can enhance the accuracy of ELS. Considering the frequency dependence of equivalent damping, a frequency‐domain‐based random response evaluation method is proposed. The influence of additional rotational damping, flywheel inertia, and structural natural period on random response is evaluated and analyzed. In CIDS with similar rotational damping and inertia, its control effect is related to the excitation. In summary, this study offers a structured framework for comprehending and evaluating the performance of CIDS, offering valuable insights into its potential engineering design, applications, and analysis.

Dynamically reprogrammable stiffness in gecko-inspired laminated structures

Adaptive structures are of interest for their ability to dynamically modify mechanical properties post fabrication, enabling structural performance that is responsive to environmental uncertainty and changing loading conditions. Dynamic control of stiffness is of particular importance as a fundamental structural property, impacting both static and dynamic structural performance. However, existing technologies necessitate continuous power to maintain multiple stiffness states or couple stiffness modulation to a large geometric reconfiguration. In this work, reversible lamination of stiff materials using gecko-inspired dry adhesives is leveraged for bending stiffness control. All stiffness states are passively maintained, with electrostatic or magnetic actuation applied for ∼1 s to reprogram stiffness. We demonstrate hinges with up to four passively maintained reprogrammable states decoupled from any shape reconfiguration. Design guidelines are developed for maximizing stiffness modulation. Experimentally, the proposed method achieved a stiffness modulation ratio of up to 14.4, with simulations showing stiffness modulation ratios of at least 73.0. It is anticipated that the stiffness reprogramming method developed in this work will reduce energy requirements and design complexity for adaptation in aerospace and robotics applications.

Dynamic instability characteristics of graphene‐reinforced cellular sandwich plates using a three‐variable isogeometric approach

AbstractThe primary objective of the current study is to introduce a potent computational model for analyzing the dynamic instability response of advanced sandwich plate models subjected to various time‐dependent in‐plane edge loadings. To achieve this, we employ the finite element formulations derived from high‐order shear deformation plate theory (HSDT) involving only three unknowns in conjunction with NURBS‐based isogeometric analysis. Additionally, advanced sandwich plate models are constituted by a middle layer with either a uniform or symmetric porosity distribution and two outer layers which are reinforced with graphene nanoplatelets (GNPs) to boost dynamic structural performance. The fundamental dynamic instability region of the sandwich plates can be then obtained by solving the Mathieu‐Hill equation using the Bolotin's method. Numerous numerical studies are performed to evaluate the impacts of numerous input parameters on the dynamic stability behavior of the cellular three‐layer plate structures. The crucial role of internal porosity distribution as well as GNPs reinforcement phase in enhancing the instability performance of the cellular structures is thoroughly evaluated. With the current results, this research provides important insights into the development and application of cellular materials as well as the GNPs for designing advanced engineering structures in the future.

Free Vibration Analysis of Arches with Interval-Uncertain Parameters

The dynamic characteristics of a structure serve as a crucial foundation for structural assessment, fault diagnosis, and ensuring structural safety. Therefore, it is imperative to investigate the impacts of uncertain parameters on the dynamic performance of structures. The dynamic characteristics of arches with uncertain parameters are analyzed in this paper. The uncertain parameters are regarded as non-probabilistic uncertainties and represented as interval variables. A model of an arch considering interval-uncertain parameters is built, and kinematic equations are established. The natural frequencies are obtained using the differential quadrature (DQ) method, and the relationships between natural frequency, radius, and central angle are also analyzed. On this basis, the Chebyshev polynomial surrogate (CPS) model is employed to solve the uncertain dynamic problem, and the natural frequencies are seen to be the objective functions of the CPS model. The accuracy verification of the model is achieved by comparison with the Monte Carlo simulation (MCS). Simulations are carried out considering different uncertainties, and the results show that the bounds of natural frequencies are influenced not only by the types of uncertain parameters, but also by their combinations.

Evaluation of floating wind turbine substructure designs by using long-term dynamic optimization

The substructure design plays an important role in the capital expenditure as well as the dynamic performance of floating wind turbines (FWTs). To determine the most cost-effective hull shape and mooring configuration from various design concepts, this paper proposes an evaluation methodology based on long-term dynamic optimization. To make the long-term dynamic performance assessment computationally affordable in the iterative optimization process, the FWT responses are approximated by a Kriging surrogate model, which is established via regression analysis between representative met-ocean parameters and the corresponding short-term responses. The short-term responses in stochastic wind and waves are simulated by an efficient reduced-order model (ROM) with eight degrees of freedom (DoFs). The Kriging model is employed to derive the long-term performance indicators, e.g. the lifetime accumulative fatigue damage at tower base and fairleads, the peak platform motion and nacelle acceleration. The model effectiveness is confirmed by the verification campaign against OpenFAST. Afterwards, this model is implemented into a multi-objective optimization framework that aims to find out the Pareto optimal designs that have the best trade-off between long-term dynamic performance and manufacturing cost. The NSGA-II algorithm is adopted to explore the substructure design space, with the consideration of constraints related to the inherent properties as well as the dynamic performance of structures. This methodology is applied to two typical semi-submersible FWTs: the Y-shaped and the square-shaped concept. By comparing their Pareto fronts, it is found that the square-shaped semi-submersible is expected to be a more favourable substructure for our case study. Under the same level of manufacturing cost, the tower base fatigue of square-shaped concept is mostly 30%–50% lower than that of the Y-shaped. Hydrodynamics is the main cause of the fatigue difference between the two concepts. This work provides a decision basis on which FWT substructure design is employed as input to the detail design stage.

Implementation and Verification of Real-Time Hybrid Simulation for the Dynamic Performance Assessment of Base-Isolated Structures

Real-time hybrid simulation (RTHS) is an economical and reliable method for the evaluation of structural dynamic performances, and the fixed analytical substructure model is often used in RTHS which may affect the accuracy of results. In this study, a real-time hybrid simulation platform (RTHSP) developed by configuring a generic National Instruments (NI) controller with hybrid programming strategy is presented in detail. The dynamic performances of a scaled base isolated structure, where the unscented Kalman filter (UKF) was used to update the analytical substructure Bouc–Wen model during the RTHSs was evaluated by presented RTHSP. RTHS of a base-isolated structure was performed where a lead rubber bearing (LRB) was tested physically as the experimental substructure of a part of the isolation layer and the superstructure with the rest of the isolation layer model updated by UKF was considered as the analytical substructure. Under the excitation of three natural earthquakes, the RTHSs with and without UKF updating were compared and analyzed the differences between the two. The results indicated that the displacements of experimental substructure generated by RTHS with UKF updating are the largest, while the relative displacements and acceleration of superstructure are the smallest overall, and the dynamic characteristics of the isolation layer of the analysis substructure updated by UKF are different from that without updated, which reflected the more authentic dynamic mechanical performance of the base-isolated structure under earthquake excitation. In addition, the RTHSP and the hybrid programming strategy are verified to be reliable in tests and experiments, and the components and implementation of a RTHSP for base-isolated structures is described in detail, providing a reference for research on RTHS method.

Dynamic Performance Improvement of Wound Rotor Synchronous Starter/Generator System Based on PWM Rectifier

This paper proposes an active field current tracking (AFCT) control strategy for pulse width modulation (PWM) rectifier, which can remarkably enhance the system’s dynamic performance of wound rotor synchronous starter/generator (WRSSG) system when the load changes. WRSSG system uses a PWM converter in the aero-engine starting process and can reuse the power circuit as a PWM rectifier for high-voltage direct current (HVDC) power generation, thus simplifying the system structure, volume, and weight. The mathematic model of WRSSG system with PWM rectifier is introduced. Based on the system model, the PI controller of armature current loop is designed. The nonlinear PI controller of excitation voltage loop is also illustrated. A 15kW WRSSG system based on PWM rectifier is implemented. The AFCT control strategy and its high dynamic performance are verified by experiments. The simple system structure and distinguished dynamic performance of PWM rectifier with AFCT control can make the WRSSG system more competitive in aircraft applications.

Stewart-inspired parallel spatial docking robot: design, analysis and experimental results

PurposeThis paper aims to focus on the spatial docking task of unmanned vehicles under ground conditions. The docking task of military unmanned vehicle application scenarios has strict requirements. Therefore, how to design a docking robot mechanism to achieve accurate docking between vehicles has become a challenge.Design/methodology/approachIn this paper, first, the docking mechanism system is described, and the inverse kinematics model of the docking robot based on Stewart is established. Second, the genetic algorithm-based optimization method for multiobjective parameters of parallel mechanisms including workspace volume and mechanism flexibility is proposed to solve the problem of multiparameter optimization of parallel mechanism and realize the docking of unmanned vehicle space flexibility. The optimization results verify that the structural parameters meet the design requirements. Besides, the static and dynamic finite element analysis are carried out to verify the structural strength and dynamic performance of the docking robot according to the stiffness, strength, dead load and dynamic performance of the docking robot. Finally, taking the docking robot as the experimental platform, experiments are carried out under different working conditions, and the experimental results verify that the docking robot can achieve accurate docking tasks.FindingsExperiments on the docking robot that the proposed design and optimization method has a good effect on structural strength and control accuracy. The experimental results verify that the docking robot mechanism can achieve accurate docking tasks, which is expected to provide technical guidance and reference for unmanned vehicles docking technology.Originality/valueThis research can provide technical guidance and reference for spatial docking task of unmanned vehicles under the ground conditions. It can also provide ideas for space docking missions, such as space simulator docking.

Quantitive Harmonic Analysis and Force Ripple Suppression of a Parallel Complementary Modular Linear Reluctance Machine

Considering the fluctuating price of permanent magnet, magnetless machine is a new trend in development. Variable reluctance linear machines (VRLM) with simple structure, good robustness, and high dynamic performance, is one of the potential candidates for linear direct-drive wave energy conversion (WEC) application replacing PM-excited linear machine. To ameliorate the fault-tolerance performance of VRLM, the researchers have come up with modular or segmented design, denoted as modular variable reluctance linear machines (MVRLM) However, suffering from large thrust ripple, the design of MVRLM still needs to be improved. To relieve the force ripple of MVRLM, a novel H-shaped modular variable-flux linear reluctance machine (HMVF-LRM) is proposed in this paper. The principle of force ripple suppression by using parallel-complementary structure is analyzed deeply. In this paper, the analytical calculation of induced voltage is developed quantitively with equivalent magnetic circuit method (EMC) and harmonics analysis. Then the design mechanism of HMVF-LRM is illustrated. Further, the performance and fault-tolerant capability of the proposed machine are simulated and evaluated by finite element analysis (FEA), and the prototype is tested to verify the effectiveness of the machine design.

Structural dynamic performance of floating continuous beam bridge under wave and current loadings: An experimental study

Very large floating bridges supported by pontoons are thought to have a promising prospect in crossing the wide and deep water areas, especially for those with weak foundation. The floating bridges are directly subjected to the wave and current actions, and remains in the state of stochastic vibration during their whole service life; thus, the dynamic behavior is an important issue in the structural design process of such type of structure. However, limited experimental researches on the floating bridge structures have been reported in literature. This paper presents a scaled model test regarding to a floating continuous beam bridge with mooring system, where the actions of wave, current, and their combinations are considered. The hydrodynamic responses of the structure, including the displacements, internal forces and support reactions, have been finely measured by the established data collection system. The recorded data have been processed based on statistical and spectral analyses, so as to comprehensively investigate the hydrodynamic characteristics of the tested floating bridge, and further to identify the influences of wave and current loads on the structural performance. The presented research work gives an insight on the hydrodynamic performance of the deep-water floating continuous beam bridge with mooring system, and also extends the experience on the design and implementation of the experimental study of floating bridge structures. The presented test data can also provide a reference for the calibration of numerical investigations.

Structural Damping Ratio Identification through Iterative Frequency Domain Decomposition

The frequency domain decomposition method (FDD) is a commonly used method to identify structural modal parameters and analyze the structural dynamic performance. Although FDD has a high identification accuracy in natural frequencies and mode shapes, damping ratios cannot be identified accurately. The logarithmic decay method to identify the damping ratio in FDD needs the transformation from a narrow frequency band to the time domain, which leads to the loss of the corresponding mode outside the narrow band and add other modes in the narrow band. In this paper, an iterative frequency domain decomposition method (iFDD) is proposed to identify the structural damping ratio in frequency domain. Firstly, the natural frequencies and mode shapes are obtained by the FDD method, and the damping ratios during this identification process are assumed to be unknowns. Then, the natural frequencies, mode shapes, and unknowns are substituted into the output power spectrum formula to construct nonlinear equations. The damping ratios are obtained by solving the equations using iterative optimization methods. Finally, a numerical example and benchmark model are employed to validate the effectiveness of the proposed method. The results showed that the proposed iFDD method can identify the damping ratio precisely in the frequency domain, which is better than the traditional FDD performance.

Investigation on dynamic performance of wind turbines using different scaling methods in wind tunnel tests

The relationship between rotor thrust (T) and tip speed ratio (TSR) directly influences the response of the scaled offshore wind turbine in the wind tunnel test. In this paper, a series of 1:100 scaled wind tunnel tests based on NREL 5 MW wind turbine are designed to study the dynamic performance of the wind turbine based on two different T-TSR scaling methods: (1) geometrically scaled blade with increased wind speed (GB-IW) and (2) redesigned blade with scaled wind speed (RB-SW). Test result indicates that the GB-IW method can meet the requirement of T, but unavoidably result in the distortion of TSR (40.2 % to 61.7 % lower than the target). However, using the RB-SW method, the T-TSR curve can be simulated well under different operational conditions. The amplitudes of structural response including base moment, nacelle acceleration and displacement from the GB-IW method are much lower than those from the RB-SW method, indicating that the GB-IW method leads to an overestimation of damping ratio but underestimation of the fluctuation of both natural frequency and structural response. The RB-SW method can provide a more reasonable estimation of structural dynamic performance, compared with the GB-IW method. This study confirms the importance of selecting reasonable scaling method for wind tunnel test, which is critical to the understanding of the complex aerodynamic and structural dynamic performance of offshore wind turbines.

A Shape-Memory Deployable Subsystem with a Large Folding Ratio in China’s Tianwen-1 Mars Exploration Mission

Once China’s Tianwen-1 Mars probe arrived in a Mars orbit after a seven-month flight in the deep cold space environment, it would be urgently necessary to monitor its state and the surrounding environment. To address this issue, we developed a flexible deployable subsystem based on shape memory polymer composites (SMPC-FDS) with a large folding ratio, which incorporates a camera and two temperature telemetry points for monitoring the local state of the Mars orbiter and the deep space environment. Here, we report on the development, testing, and successful application of the SMPC-FDS. Before reaching its Mars remote-sensing orbit, the SMPC-FDS is designed to be in a folded state with high stiffness; after reaching orbit, it is in a deployed state with a large envelope. The transition from the folded state to the deployed state is achieved by electrically heating the shape memory polymer composites (SMPCs); during this process, the camera on the SMPC-FDS can capture the local state of the orbiter from multiple angles. Moreover, temperature telemetry points on the SMPC-FDS provide feedback on the environment temperature and the temperature change of the SMPCs during the energization process. By simulating a Mars on-orbit space environment, the engineering reliability of the SMPC-FDS was comprehensively verified in terms of the material properties, structural dynamic performance, and thermal vacuum deployment feasibility. Since the launch of Tianwen-1 on 23 July 2020, scientific data on the temperature environment around Tianwen-1 has been successfully acquired from the telemetry points on the SMPC-FDS, and the local state of the orbiter has been photographed in orbit, showing the national flag of China fixed on the orbiter.

On the Possibility of Using 3D Printed Polymer Models for Modal Tests on Shaking Tables: Linking Material Properties Investigations, Field Experiments, Shaking Table Tests, and FEM Modeling

In this article, the possibility and the pertinence of using 3D printed polymeric materials for models in modal tests on shaking tables were recognized. Four stages of the research have been linked: The material properties investigation, the field experiment on the modal properties of the reinforced concrete chimney (a prototype), the shaking table tests on the modal properties of the 3D printed polymer model of the chimney, scaled according to the similarity criteria, and the numerical calculations of the FE model of the 3D printed mockup. First, the investigation of the properties of 3D printed polymer materials revealed that the direction of lamination had no significant effect on the modulus of elasticity of the material. This is a great benefit, especially when printing models of tall structures, such as chimneys, which for technical reasons could only be printed in a spiral manner with the horizontal direction of lamination. The investigation also proved that the yield strength depended on the direction of the lamination of the specimens. Next, the natural frequencies of the chimney, assessed through the field experiment and the shaking table tests were compared and showed good compatibility. This is a substantial argument demonstrating the pertinence of using 3D printed polymer materials to create models for shaking table tests. Finally, the finite element model of the 3D printed polymer mockup was completed. Modal properties obtained numerically and obtained from the shaking table test also indicated good agreement. The presented study may be supportive in answering the question of whether traditional models (made of the same material as prototypes) used in shaking table tests are still the best solution, or whether innovative 3D printed polymer models can be a better choice, in regard to the assessment of the modal properties and the dynamic performance of structures.

Development of Nanoscale Hydrated Titanium Oxides Support Anion Exchange Resin for Efficient Phosphate Removal from Water

In this work, a macroporous strongly basic anion exchange resin D201 was used as the matrix and loaded with nano hydrated titanium oxide (HTO) to fabricate a novel resin-based nano hydrated titanium oxide adsorbent (HTO-D201), which was characterized by scanning electron microscope-energy dispersion spectroscopy (SEM-EDS), transmission electron microscope (TEM), X-ray diffraction (XRD) and Brunauer-Emmett-Teller (BET) analysis. Adsorption isotherm, pH influence competitive adsorption and column adsorption experiments were conducted to investigation the adsorption behavior of HTO-D201 to phosphorus in water. The adsorption effect of adsorbent HTO-D201 on phosphorus in water, and the corresponding adsorption mechanism, are discussed. It was observed that HTO-D201 exhibited spontaneous adsorption behavior with Langmuir fitting maximum adsorption capacity of 34.08 mg∙g−1 under a pH of 6.8 and a temperature of 298 K. Adsorption isotherms confirmed that enhancing temperature could promote the adsorption process. SO42−, NO3− and Cl− were used as competing ions in competitive adsorption, which confirmed better anti-interference ability of HTO-D201 compared with that of unmodified D201. The column adsorption experiment implied that HTO-D201 possessed a stable structure and good dynamic adsorption performance, with effective processing capacity of 420BV, which could be regenerated and recycled. The adsorption mechanism of HTO-D201 to phosphorus in water is discussed, which was ascribed to a quaternary amine group on the resin and a hydroxyl group on the HTO. This work shows that HTO-D201 is a promising adsorbent that a possesses excellent phosphorus-removing capacity from wastewater and the potential for practical application.