Configuration Transformation Research Articles

Binding characteristics of copper onto biochar-derived DOM using general, heterospectral and moving-window two-dimensional correlation analyses

Dissolved organic matter released from biochar (biochar-derived DOM, BDOM) could dominate the environmental behavior and fate of trace metals by forming BDOM-metal complexes. Here general, heterospectral as well as moving-window (MW) two-dimensional correlation spectroscopy (2DCOS) analyses of synchronous fluorescence and Fourier transform infrared spectra were employed to explore the heterogeneous binding characteristics between sludge BDOM and Cu(II). The results revealed that Cu-BDOM binding first occurred in the fulvic-like (368–380 nm), then humic-like (428 nm) fluorescent fractions, followed by infrared groups of phenolic hydroxyl groups, carboxylate, COH of polysaccharide groups, CC of aromatic carbon, CH of aliphatics and COC of aliphatic ethers. The binding affinity of the hydrophilic groups was stronger than that of hydrophobic groups in BDOM towards Cu(II). Fluorescence components in BDOM played a decisive role in the binding of Cu(II) with trace concentration (1 μM), while infrared functional groups made a substantial contribution in the complexation of Cu(II) with higher concentration (10–100 μM). The concentration of final configuration transformation point (11.7 μmol/mg in this study) by MW2DCOS analysis was suggested as an actual binding threshold that was helpful for evaluating their environmental behaviors.

Polymer-Dispersed Cholesteric Liquid Crystal under Homeotropic Anchoring: Electrically Induced Structures with λ1/2-Disclination.

Orientational structures of polymer-dispersed cholesteric liquid crystal under homeotropic anchoring and their transformations under the action of an electric field are studied. The switching of cholesteric droplets between different topological states are experimentally and theoretically demonstrated. Structures with -disclination are found and considered. These structures are formed during the transformation of a twisted toroidal configuration induced by a decrease in the electric field when a relative chiral parameter . The transformation of the initial structure with a bipolar distribution of the helix axis into a twisted toroidal configuration and then into a structure with -disclination is investigated in detail. The behavior of these structures under the influence of an external electric field, as well as the appearance of structures with -disclination, are studied. Obtained results are promising for the development of optical materials with programmable properties.

Adaptive DMA Design and Operation under Multiscenarios in Water Distribution Networks

Water distribution network (WDN) is a human-centered infrastructure that is indispensable for modern cities worldwide. In addition to optimizing the operation and management (O&M) of WDNs under the current state, water utilities should be able to manage uncertain and risk conditions for improving their O&M efficiency. Although the disintegration of large WDNs into permanent district metered areas (DMAs) is an O&M innovation based on water leakage monitoring and pressure management, its network redundancy and reliability diminish under anomalous conditions. Therefore, this study proposed a design and operation procedure to obtain optimal, self-adaptive DMA configurations for various plausible abnormal scenarios. The proposed method is based on multiscenario simulation and optimization, comprising two phases: (1) design of optimal DMA layout for each scenario using the pressure uniformity index to optimize the placement of flow meters and gate valves, and (2) dynamic transformation of the base DMA configuration into an adaptive DMA layout adapting to abnormal conditions and optimization of the locations and statuses of the control valves. Moreover, we used a real-world WDN to demonstrate the effectiveness of the proposed approach, and the obtained results revealed the efficiency and appropriate performance of the adaptive DMA layouts for sustainable adaptation of WDNs under anomalous conditions.

Design and analysis of a class of two-limb non-parasitic 2T1R parallel mechanism with decoupled motion and symbolic forward position solution - influence of optimal arrangement of limbs onto the kinematics, dynamics and stiffness

The two-limb11Throughout this paper, the two-limb parallel mechanism means that the base and moving platforms of a parallel mechanism are directly connected with two independent limbs, despite the existence of closed sub-loop in one limb (i.e., in this work, it is named as hybrid-single-ordered-chain, and HSOC for short). parallel mechanisms (PMs) can have the advantages, in terms of avoidance of mechanical collision, simple architecture, rapid configuration transformation and large workspace volume. This paper consists of two major contents. The first aspect pertains to the design of a class of two-limb PMs with two translations and one rotation (2T1R), where a family of PMs featuring two translations actuated by sliding units are proposed, with decoupled position and orientation as well as symbolic forward position solution, without parasitic motions. The second aspect is to analyze the influence of the arrangement of limbs onto the kinematic, dynamic and stiffness performance of the PMs. Using the kinematic modeling method based on topological characteristics, the unified symbolic forward and inverse position solutions of the PMs are derived, together with the workspace, rotational capacity and singularity. Finally, a comparative study regarding the kinematics, dynamics and stiffness of the two PMs is carried out to find the optimal PM configuration. This paper presents a systematic analysis for the synthesis, optimal design and performance evaluation of two-limb parallel mechanisms.

Research on self-reconfiguration strategy of modular spherical robot

Self-reconfigurable robot is a complex system composed of multiple modular robots. Aiming at high efficiency and low energy consumption of self-reconfigurable robot configuration transformation, a self-reconfiguration strategy based on module mapping of the common parts is proposed. This strategy describes the configuration of the robot in the form of a graph, and a method to determine the central node of configuration is proposed. The central node module as the starting node for comparison of different configurations, and the common part between the two configurations is reserved. Then the module closest to the target module is searched, the target configuration is reconfigured from the inside to the outside with the minimum energy consumption constraint. Finally, based on the experiment results, compared with other self-reconfiguration strategies, the proposed self-reconfiguration strategy reduces the times of reconfiguration operations and improves the reconfiguration efficiency.

Dynamic reliability analysis for configuration transformation of a controllable metamorphic palletizing robot

The dynamic reliability of configuration transformation is the key to ensure the normal operation of metamorphic mechanisms with multiple configurations in engineering applications. In this work, a controllable metamorphic palletizing robot for handling the workpieces was investigated. The failure function was established using the dynamic reliability model of its configuration transformation, where the uncertain variables were considered as probabilistic random and non-probabilistic interval variables. Next, a reliability analysis method used to determine and solve this function was proposed. The upper and lower failure function bounds were considered as probabilistic random variables enabling the calculation of the corresponding reliability. Regarding the case study, the reliability results of various configuration transformation types calculated via the presented method are close to those gained by the neural network-based Monte-Carlo method. Furthermore, in the experimental study, the measured data were obtained by the orthogonal design and fitted using a neural network. The reliability results show that the relative errors between the experimental results and those obtained through the proposed method are small, which suggests that the proposed method is effective. Therefore, this study provides an appropriate safety evaluation reference for the configuration transformation of metamorphic mechanisms.

Mathematics embodied: Merleau-Ponty on geometry and algebra as fields of motor enaction

This paper aims to clarify Merleau-Ponty’s contribution to an embodied-enactive account of mathematical cognition. I first identify the main points of interest in the current discussions of embodied higher cognition and explain how they relate to Merleau-Ponty and his sources, in particular Husserl’s late works. Subsequently, I explain these convergences in greater detail by more specifically discussing the domains of geometry and algebra and by clarifying the role of gestalt psychology in Merleau-Ponty’s account. Beyond that, I explain how, for Merleau-Ponty, mathematical cognition requires not only the presence and actual manipulation of some concrete perceptible symbols but, more strongly, how it is fundamentally linked to the structural transformation of the concrete configurations of symbolic systems to which these symbols appertain. Furthemore, I fill a gap in the literature by explaining Merleau-Ponty’s claim that these structural transformations are operated through motor intentionality. This makes it possible, in turn, to contrast Merleau-Ponty’s approach to ontologically idealistic and realistic views on mathematical objects. On Merleau-Ponty’s account, mathematical objects are relational entities, that is, gestalts that necessarily imply situated cognizers to whom they afford a specific type of engagement in the world and on whom they depend in their eventual structural transformations. I argue that, by attributing a strongly constitutive role to phenomenal configurations and their motor transformation in mathematical thinking, Merleau-Ponty contributes to clarifying the worldly, historical, and socio-cultural aspects of mathematical truths without compromising what we perceive as their universality, certainty, and necessity.

Rigid-flexible coupling identification and attitude control based on deep neural networks

Rigid-flexible coupling significantly affects the attitude control accuracy during attitude maneuvering of spacecraft with large flexible appendages. On-orbit identification of flexible parameters such as modal frequency is very important for attitude control. However, large errors could exist in current identification methods, especially for extreme scenarios such as large deformation or configuration transformation of spacecraft. Unlike previous studies that identified natural frequencies or modal shapes, this paper proposes a method of directly estimating the rigid-flexible coupling term based on deep neural networks (DNNs). By using the neural network (NN), the proposed identification method is independent of the specific dynamic model and has better adaptability. We establish a rigid-flexible dynamic model considering uncertainties and analyze the possibility of identifying the rigid-flexible coupling term in the attitude dynamic equation through selected system states. To verify the feasibility of training the neural networks mapping from system states to the coupling term, we design a numerical experiment. Five attitude maneuvers with different target attitude angles are conducted with the data collected for training. The experimental results show that all estimation errors of neural networks are relatively small. Based on this, we further propose an improved PD controller. We assume that the DNNs can be well trained offline, followed by online prediction of the rigid-flexible coupling term to improve attitude control accuracy. Five random attitude maneuvers are performed for offline training, and a large angle attitude maneuver under the proposed improved PD controller is simulated. The experiment proves that the improved PD controller is effective and can improve system performance. The Elman neural network appears the best choice for rigid-flexible estimation and the improved PD controller.

Просторове забезпечення управління сталим господарюванням у критичній інфраструктурі в особливий період

The article proposes to use the methodological provisions for the development and implementation in practice of a spatial three-level complex of monitoring programs (general/standard, operational/crisis and background/scientific), which was formed taking into account the current geopolitical and internal economic situation in the state according to the block principle of configurational transformation in the quality of the National Spatial System for Monitoring the Effectiveness of Management of Sustainable Management in Critical Infrastructure. The target activity of the National Monitoring System has been formulated, which should be aimed at: a) organization of information support at the level of decision-making and control over the execution of assignments and the creation of a permanent information testing ground for critical infrastructure objects; b) obtaining, in addition to technical-economic, technological and financial information, also information related to the dynamics of threats to the sustainable management of critical infrastructure and its submission to state bodies, management and management entities, etc.; c) the use of measures directly aimed at increasing the level of protection against identified threats and risks, which should be successfully used for decision-making in various economic and business processes. The main provisions of the cybernetic theory were used to determine the key problems of critical infrastructure in the unstable conditions of economic and military aggression, which makes it possible to consider the self-organization of the state entity as a process of achieving a dynamic balance between the management system of sustainable management in critical infrastructure and its environment.

Monitoring the Effectiveness of Sustainable Management in Critical Infrastructure: Substantiation of Costs

The article is devoted to building the structure of the National spatial monitoring system (general/standard, operational/crisis and background/scientific) of the effectiveness of sustainable management in critical infrastructure, formed according to the seven-block principle of its closed multidimensional functioning. The complex of target and specific functions of the subsystem “Management and control” has been improved, with an additional incorporated one – the organization of: a) effective managerial control over the expenditure of budgetary and state funds and their rational spending; b) optimal purchase of products and payment for the performance of works and services; c) permanent monitoring of the execution of instructions by officials and structures, the good quality of initiatives of officials and the level of competence of executors; d) spatial monitoring based on the results of the analysis of the dynamics of indicators and indicators (based on the results of background monitoring); e) working out, with the help of modeling systems, optimization of permanent management structures in critical infrastructure; g) mastering the world’s best practices in the field of permanent management in critical infrastructure by creating a complex of information testing grounds for advanced technologies. A technology is proposed to justify the volume of costs for the creation and implementation of the project of the National spatial system for monitoring the Effectiveness of Management of Permanent Management in Critical Infrastructure. Methodological provisions for the implementation of a spatial three-level complex of monitoring programs, formed and built according to the block principle of configuration transformation, are developed.

Target-Activating and Toehold Displacement Ag NCs/GO Biosensor-Mediating Signal Shift and Enhancement for Simultaneous Multiple Detection.

Herein, we demonstrate that a new multicolor silver nanoclusters/graphene oxide (Ag NCs/GO) hybrid material, upon target response, undergoes a configuration transformation, based on entropy-driven enzyme-free toehold-mediated strand displacement reaction, achieving emission shift and enhancement. To realize the aim above, two different synthesis routes (route I and II) of synthesizing fluorescent Ag NCs for constructing toehold displacement Ag NCs/GO biosensor is designed and performed. Influenza A virus subtype genes (H1N1 and H5N1) as a model can efficiently initiate the operation of entropy-driven displacement reaction, resulting in activatable fluorescence. Red-emitting and green-emitting Ag NCs tethering the complementary sequence of H1N1 (pDNA1) and H5N1 (pDNA2) are indirectly immobilized on GO surface through binding with capture DNA (cDNA1 and cDNA2), respectively, forming multicolor pDNA-Ag NCs/GO nanohybrid materials. However, they do not exhibit nearly fluorescence signals attributed to energy transfer from donor Ag NCs to acceptor GO. Upon adding targets H1N1 and H5N1 (tDNA1 and tDNA2), pDNA1-Ag NCs and pDNA2-Ag NCs detach from GO, based on toehold-mediated strand displacement reaction, which interferes the energy transfer and leads to significant fluorescence enhancement. More interestingly, the activatable process is accompanied by remarkable hypsochromic shift (19 nm) or bathochromic shift (21 nm) emission with quite high fluorescence recovery rates (823.35% and 693.62%). Therefore, based on these phenomena, a novel multiple approach has been developed with the assistance of toehold displacement and Ag NCs/GO nanohybrid materials. As for the remarkable emission recovery and multichannel signal, the proposed approach displays the promising application prospect in accurate diagnosis and treatment.

One-step mechanical exfoliation and deposition of layered materials (graphite, MoS2, and BN) by vacuum-kinetic spray process

The exfoliation of micron-layered materials to few-layered nanosheets is still a great challenge due to their widespread use in various applications. Herein, we provide a new approach for one-step mechanical exfoliation and deposition of graphite, MoS2, and boron nitride at room temperature. The essence of this technique is that the shock compaction wave produced by the micron powder impact with the hard substrate at a high velocity induces fragmentation and exfoliation of layered materials. The lattice expansion due to removal of stacked layers and reduction of crystalline domain size in nanosized thin films is identified using x-ray diffraction and a high-resolution transmission electron microscope. Raman spectra of the nanostructured thin film indicate the improvement of disorder-related modes due to the kinetic-induced layer separation and powder fragmentation. X-ray photoelectron spectra analysis indicates the transformation of bond configuration from sp2 hybridization of bulk hexagonal structure to sp3 in the nanostructured thin film.

Tannic Acid-Stabilized Self-Degrading Temperature-Sensitive Poly(2-n-propyl-2-oxazoline)/Gellan Gum Capsules for Lipase Delivery.

In recent years, stable hydrogen-bonded stimuli-responsive polymer capsules have been receiving great interest for the encapsulation and release of sensitive molecules such as lipase enzymes. Compartmental capsules having a liquid gel core stabilized with temperature-responsive hydrogen-bonded multilayers are advantageous over other conventional systems because of their ability to maintain hydrophilic lipase and other hydrophobic compounds in compatible protected molecular vehicle environments and prolong their native properties, e.g., in the body. In this work, we report a methodology to stabilize an aqueous liquid gellan gum (GG) core in a capsule using neutral and nontoxic building blocks, namely, poly(2-n-propyl-2-oxazoline) (PnPrOx) and tannic acid (TA), to fabricate temperature-responsive capsules, comprising both lipase and hydrophobic oil droplets. The capsules were fabricated by adding GG droplets to a PnPrOx suspension at a temperature (T) higher than its cloud point temperature (TCP). Notably, the formed capsules were not stable in water without TA stabilization via hydrogen bonding. Scanning electron microscopy (SEM) investigations of the GG/building block interphase revealed that the collapsed PnPrOx globules that are present above the TCP stabilized the GG interphase as a Pickering emulsion, while undergoing a configurational transformation into its linear form by interacting with TA in the next step of capsule formation resulting in a smooth PnPrOx/TA capsule wall. The encapsulation efficiencies of the capsules for model fluorescent molecules were found to be 52, 54, and 24% for FITC-dextran, rhodamine, and Nile red, respectively. The stability experiments exhibited swelling and shell thinning at certain locations followed by complete rupture of the capsules at 37 °C, while the capsules were stable for several weeks at temperatures below the TCP of PnPrOx. The capsules were found to be stable in stimulated gastric fluid (SGF) for several hours at 37 °C while successfully releasing the encapsulated lipase and Nile red (model hydrophobic compound) in stimulated intestinal fluid (SIF). The released lipase was found to retain almost 100% of its activity. The reported capsules have high potential for use as carriers for encapsulation and release of a variety of payloads ranging from proteins and vitamin supplements to enzymes and probiotics through the oral route of administration.

First Principles Prediction of the Al-Li Phase Diagram

The phase diagram of the Al-Li system was determined by means of first principles calculations in combination with the cluster expansion formalism and statistical mechanics. The ground state phases were determined from first principles calculations of fcc and bcc configurations in the whole compositional range while the phase transitions as a function of temperature were ascertained from the thermodynamic grand potential and the Gibbs free energies of the phases. Overall, the calculated phase diagram was in good agreement with the currently accepted experimental phase diagram but the simulations provided new insights that are important to optimize microstructure of these alloys by means of heat treatments. In particular, the structure of the potential GP zones, made up of Al0.5Li0.5 (001) monolayers embedded in Al matrix, was identified. It was found that Al3Li is a stable phase although the energy barrier for the transformation of Al3Li into AlLi is very small (a few meV) and can be overcome by thermal vibrations. Moreover, bcc AlLi was found to be formed by martensitic transformation of fcc configurations and Al3Li precipitates stand for favorable sites for the nucleation of AlLi because they contain the basic blocks of such fcc ordering. Finally, polynomial expressions of the Gibbs free energies of the different phases as a function of temperature and composition were given, so they can be used in mesoscale simulations of precipitation in Al-Li alloys.

Temperature-dependent site selection of boron doping in chemically derived graphene

Site dependent light element doping in graphene can lead to exciting phenomenological prospects such as tunable bandgap, enhanced electron phonon coupling and anomalous transport properties for superconductivity, ferromagnetism and catalysis. However, they can lead to more additional defect sites and strain dependent effects as a residual fallout of the process and remains open to interpretations. In this work, we delineate a spectroscopic approach combined with ab-initio results to decipher these factors by using a prototypical in-situ boron doped reduced graphene oxide sample specimens and tuning them from low to moderate hole doping concentrations. The selectivity of doping configurations (BC3, BCO2 and BC2O) as well as their concentration is varied by regulating the annealing temperature (up to 1000 °C). We find a competitive relationship between the dopant and the residual surface oxygen atoms with gradual transformation of favorable doping configuration from out of plane to in-plane (substitutional) with increasing temperature. Furthermore, simultaneous induction of point defects and strain related effects in graphene lattice were also observed with increase in doping concentration. This led to anomalous bandgap crossover at high temperatures in boron doped graphene in comparison to the thermally reduced counterpart which could be important for electronic and transport applications.

Revelation of metamorphic phenomenon through the equivalent mechanisms and development of the novel metamorphic epicyclic gear trains

Epicyclic gear train, a typical higher pair mechanism with one-wheel axis that revolves around another fixed axis, has been widely used in mechanism design. However, applying the metamorphic mechanisms to the epicyclic gear trains remains a challenge. This paper analyses the metamorphic phenomenon of epicyclic gear trains using the equivalent mechanism approach and presents for the first time a set of novel metamorphic epicyclic gear trains with variable motion branches and changed configurations. Three 5-bar equivalent mechanisms of typical epicyclic gear trains and their equivalent geometrical relationships are introduced based on the instantaneous screw axes of the gear pairs. First- and second-order kinematic models of the equivalent mechanisms are established to obtain motion branches and their corresponding constraint conditions. With the equivalent geometrical relationship, the configurations and the motion branches of the epicyclic gear train are identified, and the constraint conditions are obtained. A set of novel metamorphic epicyclic gear trains are therefore designed by implementing the metamorphosis technique that can realize the configuration transformation of an epicyclic gear train under constraint conditions. A metamorphic epicyclic bevel gear clamping mechanism is further designed as an example to demonstrate the application of the metamorphic epicyclic gear mechanisms.

Dual-Channel Logic Gates Operating on the Chemopalette ssDNA-Ag NCs/GO Nanocomposites.

In this work, we demonstrate that the emission wavelength and intensity of silver nanoclusters (Ag NCs) can be facilely tuned by the configuration transformation from the adsorption of Ag NCs to the graphene oxide (GO) surface to the desorption of Ag NCs from GO. Bicolor Ag NCs tethering the complementary sequence of influenza A virus genes are prepared, named green-emitting G-Ag NCs-CH5N1 (530 nm) and red-emitting R-Ag NCs-CH1N1 (589 nm). As for the high affinity of the complementary fragment of genes to GO, the adsorption of Ag NCs to GO leads to the formation of G-Ag NCs-CH5N1/GO and R-Ag NCs-CH1N1/GO nanocomposites, leading to fluorescent quenching due to energy transfer. By conjugating complementary sequences as capturing probes for targets, the formation of genes/Ag NC duplex-stranded structures results in the desorption of Ag NCs from GO, activating the fluorescence signal. More interestingly, compared with sole single-stranded DNA-templated fluorescent Ag NCs (ssDNA-Ag NCs), the activatable emission wavelength of the G-Ag NCs-CH5N1/H5N1 complex exhibits a notable red shift (555 nm) with a 49% recovery rate, while that of the R-Ag NCs-CH1N1/H1N1 complex shows a distinct blue shift (569 nm) with a 200% recovery rate. Via target-responsive configuration transformation of Ag NCs/GO hybrid materials, the emission wavelength and intensity of Ag NCs are effectively regulated. Based on the output changes according to different input combinations, novel dual-channel logic gates for multiplex simultaneous detection are developed by using the tunable color and intensity of ssDNA-Ag NCs. Our observation may open a new path for multiplex analysis in a facile and rapid way combining the logic gate strategy.

(Invited) Negative Volume Compressibility in Sc3n@C80–Cubane Cocrystal with Charge Transfer

According to the laws of thermodynamics, materials normally exhibit contraction or expansion along the directions of the applied pressure or tension. Here, we show that a man-made cocrystal of a metallofullerene and highly energetic cubane, with strained sp3 bonding, may exhibit an anomalous negative volume compressibility. In this cocrystal, the freely rotating fullerene Sc3N@C80 acts as a structural building block while static cubane molecules fill the lattice interstitial sites. Under high pressure, Sc3N@C80 keeps stable and preserves the crystalline framework of the materials, while the cubane undergoes a progressive configurational transformation above 6.5 GPa, probably promoted by charge transfer from fullerene to cubane. A further configurational change of the cubane into a low-density configuration at higher pressure results in an anomalous pressure-driven lattice expansion of the cocrystal (∼1.8% volume expansion). Such unusual negative compressibility has previously only been predicted by theory and suggested to appear in mechanical metamaterials.

Optimal Design on Fossil-to-Renewable Energy Transition of Regional Integrated Energy Systems under CO2 Emission Abatement Control: A Case Study in Dalian, China

Optimal design of regional integrated energy systems (RIES) offers great potential for better managing energy sources, lower costs and reducing environmental impact. To capture the transition process from fossil fuel to renewable energy, a flexible RIES, including the traditional energy system (TES) based on the coal and biomass based distributed energy system (BDES), was designed to meet a regional multiple energy demand. In this paper, we analyze multiple scenarios based on a new rural community in Dalian (China) to capture the relationship among the energy supply cost, increased share of biomass, system configuration transformation, and renewable subsidy according to regional CO2 emission abatement control targets. A mixed integer linear programming (MILP) model was developed to find the optimal solutions. The results indicated that a 40.58% increase in the share of biomass in the RIES was the most cost-effective way as compared to the separate TES and BDES. Based on the RIES with minimal cost, by setting a CO2 emission reduction control within 40%, the RIES could ensure a competitive total annual cost as compared to the TES. In addition, when the reduction control exceeds 40%, a subsidy of 53.83 to 261.26 RMB/t of biomass would be needed to cover the extra cost to further increase the share of biomass resource and decrease the CO2 emission.

Blade vibration measurement and numerical analysis of a mistuned industrial impeller in a single-stage centrifugal compressor

Understanding and predicting the dynamical behavior of the impeller structure under realistic condition is vital for resonance-free and reliable design. This paper presents a novel method for high fidelity measurement and efficient modeling of impeller blade vibration considering realistic operating environment and mistuning effect. To clarify the blade forced vibration, strain gauge and blade tip timing (BTT) measurement have been conducted. Measurement introduced mistuning and flow disturbance from strain gauges are further excluded with tip-timing. The blade mistuning is then identified and quantified with the help of parameter estimation method and updates the numerical mistuned forced response model. Aerodynamic forcing function due to downstream diffuser vanes is also numerically evaluated based on a decoupled two row configuration and time transformation method. Results shown that BTT system is well applied to capture the blade resonance response and shows a promising way for monitoring individual blade component. The aerodynamic forcing is also found to be well captured and presents a wave decay trend along the flow path towards the upstream. Finally, based on the proposed BTT parameter driven vibration prediction method, the blade mistuned forced response shows a good agreement with measurement results. Improvement also implies variations of parameters and mistuning pattern should be considered as a critical part and uncertainty source in the numerical prediction. This work is of scientific significance to enrich the knowledge of blade vibration in centrifugal compressor using tip-timing and of industrial application value to consider mistuning problems with efficient reduce-order modeling method.