Time Scale Factor Research Articles

Tailored accelerometer calibration by POD for thermospheric density retrieval with GRACE and GRACE-FO

The density of the upper atmosphere can be determined by orbit and accelerometer data from low Earth orbit satellites as insitu measurements along the orbit. One main challenge therein is the estimation of physical accelerometer calibration parameters, meaning that these parameters should not absorb other effects and model deficiencies in the Precise Orbit Determination (POD) process. The accelerometers of all geodetic satellites like GRACE and GRACE-FO are affected by time dependent bias and scale factors. Therefore a calibration of the data is indispensable.A dynamic POD based physical accelerometer calibration is developed for the complete GRACE and GRACE-FO missions. We investigate different parametrization strategies and utilize different observation data, as the accurate inter-satellite ranging additionally to GPS orbit data. For the estimation parameters we distinguish between offset and scale, furthermore, cross-track and radial directions are significantly less sensitive than along-track and require a different evaluation. For the offset, constant and time dependent parameters are investigated. Furthermore, a continuous offset calibration over arc boundaries is implemented and tested. The sensitivity of the scale factor is lower, although, in contrast to the offset, it increases with higher total accelerations. This means that it needs to be estimated over longer time periods. We investigate periods between three hours and one month as well as results from Gravity Field Recovery (GFR). Monthly scale factors give valuable results, at least for x-axis and when the Solar activity is not very low. Nevertheless, we also estimate weighted constant scale factors from the monthly results and use these in a subsequent POD, giving more realistic offset results for most periods and cross-track and radial directions.From the used background models in the POD, Earth’s gravitational model has a noticeable influence on the estimated calibration parameters, especially the scale factors. We utilized several different models. Results with monthly ITSG solutions are distinctly better than the ones with the time dependent GOCO06s model.We show that the validation with usual metrics, like post-fit POD residuals, is not able to reflect the quality of the different estimated calibration parameters. For a quantitative validation we introduce an approach based on the modeled non-gravitational accelerations. Therefore, the uncertainty of the models is evaluated first. The influence of main error sources in the models is assessed and propagated to the results.We compare our scale parameters to available references and the complete calibration to TU Delft’s latest results. Finally we show the effect of different calibration options on the retrieved density.The estimated calibration parameters and non-gravitational accelerations for the whole GRACE and GRACE-FO missions are available on our data server www.zarm.uni-bremen.de/zarm_daten.

Parallel ensemble of a randomization-based online sequential neural network for classification problems using a frequency criterion

Randomization-based neural networks have gained wide acceptance in the scientific community owing to the simplicity of their algorithm and generalization capabilities. Random vector functional link (RVFL) networks and their variants are a class of randomization-based neural networks. RVFL networks have shown promising results in classification, regression, and clustering problems. For real-world applications, learning algorithms that can train with new samples over previous results are necessary because of to the constant generation of problems related to large-scale datasets. Various online sequential algorithms, commonly involving an initial learning phase followed by a sequential learning phase, have been proposed to address this issue. This paper presents a training algorithm based on multiple online sequential random vector functional link (OS-RVFL) networks for large-scale databases using a shared memory architecture. The training dataset is distributed among p OS-RVFL networks, which are trained in parallel using p threads. Subsequently, the test dataset samples are classified using each trained OS-RVFL network. Finally, a frequency criterion is applied to the results obtained from each OS-RVFL network to determine the final classification. Additionally, an equation was derived to reasonably predict the total training time of the proposed algorithm based on the learning time in the initial phase and the time scaling factor compared to the sequential learning phase. The results demonstrate a drastic reduction in training time because of data distribution and an improvement in accuracy because of the adoption of the frequency criterion.

Numerical modeling of seismic performance of shallow steel tunnel

Advanced numerical models can be used to complement experimental results and further elucidate their findings. This is particularly true when certain scaled model “adjustments” are incorporated in the testing scheme to reduce the testing cost or schedule. This study conducts comprehensive finite element modeling to simulate large-scale shaking table tests conducted by Kim et al. (2023) [1] to evaluate the seismic performance of steel tunnels. The numerical model was calibrated by comparing its predictions with the experimental observations in the initial tests. The calibrated model was then validated by comparing its predictions with the results obtained from other test models and subjected to different input ground motions. The validated model was employed to comprehensively investigate the effects of the testing scheme parameters including the input motion time scaling, tunnel burial depth, and soil relative density. It was found that reducing the time scale factor during the tests led to decreased seismic responses. It was also found that the presence of overburden soil on top of the tunnel resulted in higher seismic bending moment values, and that higher overburden height increased both lateral and vertical soil pressures on the tunnel side walls and top slab. In addition, lateral soil distortion and tunnel deformations were found to be directly correlated with the overburden soil height. Furthermore, in the absence of overburden soil, there was a significant amplification in horizontal soil acceleration. The results demonstrated that lower-density sand bed experienced greater acceleration amplification and larger displacement, and the tunnel experienced larger lateral soil pressure and higher racking. Additionally, the results revealed that subjecting the same soil bed to several shaking tests affected its stiffness, and hence affected the test observations in the subsequent tests. This should be considered when planning shaking table tests. Finally, the strain values and racking ratios obtained from the numerical simulations and the shaking tests were in agreement with the values obtained from the FHWA procedure.

Similarity analysis of the fire-resistant behaviour of partially encased composite columns in different scales

As full-scale fire resistance tests commonly involve considerable expense and require specialized experimental apparatus, scale specimens are being employed in many investigations focusing on the performance of structural members under fire exposure. However, since the inherent thermal properties of materials are commonly independent of the geometrical scale factors, it is necessary to analyze the similarity among the thermal responses of scale specimens and their corresponding prototype in advance, in order to generalize the experimental conclusions to practice. In this context, the similarity of the fire-resistant behaviour of partially encased concrete (PEC) columns, a sort of structural member that is widely used in building and industrial structures, in different geometrical scales was studied in this work. A finite element model was developed and verified based on existing experimental results, and then used for the parametric studies. The similarities of the transient temperature fields, deformation states and the fire-resistant durations of the PEC columns with restrained thermal elongation in different scales were analyzed, which indicates that the mathematical relationship between the time-scale factor and the geometric scale factor in the classical similitude theory needs to be improved for such structural members with complex cross-sections. A modified time-scale equation was therefore proposed to ensure the fire endurance prediction accuracy of scale PEC models for the corresponding prototypes under fire, with the proportion of steel in the cross-section (steel ratio) and the aspect ratio well-considered, which could facilitate the temperature-related experiments and analyses of PEC structural members in the future.

Circumstances of intensity of anxiety among firemen – pilot study

The aim of this paper is to increase knowledge on the subject of the circumstances of anxiety among firemen, while taking account of the quantitative criteria according to the time scale and qualitative factors associated with the locations of conducting duties. Material and methods: The research encompassed 35 people, including 27 men (aged: 30.8±5.0 years of age) and 8 women (aged: 26.5±2.0 years of age) who conduct fire services in the State Fire Services (SFS) in several locations in Poland. The STAI (State-Trait Anxiety Inventory) method was applied, which is recommended for diagnosing predisposition for professions that require a low level of anxiety and increased levels of resistance to stress. The research was supplemented by survey questions relating to everyday life and health behaviour. Results : In cluster group no. 1 of an average seniority of 10.78 years, the level of anxiety amounted to 59.92 points, while attention to making nutrition choices was at the level of 2.5 points. In the second cluster group selected with a seniority in the fire services of 4.40 years, the level of anxiety amounted to 53.07 points, while attention to making nutrition choices was at the level of 1.53 points. Conclusion: Longer seniority in the fire services is not associated with a lower level of the situational level of anxiety felt. The effect of the combined impact of factors occurs in the form of interactions such as in the form of the fire services, as well as seniority with relation to the intensity of anxiety amongst firemen.

Euclidean Wormhole with k-essence field in the presence of Gauss–Bonnet term

In this paper, we present some analytical solutions of wormhole in four-dimensional Robertson–Walker Euclidean background considering Einstein–Gauss–Bonnet dilaton interaction with a [Formula: see text]-essence field for [Formula: see text]. The solutions are obtained assuming some restrictions on coupling function with a form of potential or with the ratio of kinetic to potential energy of the dilaton field. Euclidean wormhole, in one case, evolves through early transient inflationary era and after graceful exit from inflation, it asymptotically yields a radiation dominated era or a matter dominated era. In another solution, initial Euclidean wormhole is accompanied by oscillation of scale factor in Euclidean time at some late era which asymptotically yields exponential expansion. The violation of the null energy condition can be avoided asymptotically. The potential is also found to decay sharply.

Battery Thermal Runaway Preventive Time Delay Strategy Using Different Melting Point Phase Change Materials

<div>The production of alternative clean energy vehicles provides a sustainable solution for the transportation industry. An effective battery cooling system is required for the safe operation of electric vehicles throughout their lifetime. However, in the pursuit of this technological change, issues of battery overheating leading to thermal runaways (TRs) are seen as major concerns. For example, lithium (Li)-ion batteries of electric vehicles can lose thermal stability owing to electrochemical damage due to overheating of the core. In this study, we look at how a different melting point phase change material (PCM) can be used to delay the TR trigger point of a high-energy density lithium-iron phosphate (LiFePO<sub>4</sub>) chemistry 86 Amp-hour (Ah) battery. The battery is investigated under thermal abuse conditions by wrapping heater foil and operating it at 500-W constant heat conditions until the battery runs in an abuse scenario. A comparative time delay methodology is developed to understand the TR trigger points under a timescale factor for different ambient conditions such as 25°C, 35°C, and 45°C. In the present study, two different types of PCMs are selected, that is, paraffin wax which melts at 45°C and Organic Axiotherm (ATP-78) which melts at 78°C. Modeling results suggest that the TR trigger point and peak onset temperature are greatly influenced by the battery operating temperature. The concluded results indicate that by submerging the battery in PCM, the TR trigger point can be greatly delayed, providing additional time for the driver and passenger to evacuate the vehicle. However, the present findings also reflect that fire propagation cannot be completely extinguished due to the volatile hydrocarbon content in the PCM. Hence from this study, it is recommended that whenever using a PCM-equipped passive cooling strategy, thermal insulation should be provided at the wall of the PCM to delay the TR propagation from one battery to another at pack-level configuration.</div>

High-Precision Tip Tracking of a Flexible Link Manipulator Using Two-Time Scale Adaptive Robust Control

A flexible link manipulator (FLM) has advantages of greater payload-to-manipulator-weight ratio, safer operation, and lower energy consumption compared with the rigid manipulator, which has promising demands in various industrial and aerospace applications. However, the internal dynamics of the system is easy to be unstable due to its nonminimum phase characteristics, and there exists severe parametric uncertainties and uncertain nonlinearities in its dynamics, which has brought many difficulties in the precise tip tracking control and effective vibration suppression. In this article, the entire mathematical model of the FLM is established with assumed mode method and actuator dynamics. Then, the system is decomposed into a slow subsystem and a fast subsystem through introducing an adjustable time-scale factor according to a new output redefined dynamics with uncertainties from truncated vibration modes and unknown disturbances of system. A two-time scale adaptive robust control (TTSARC) scheme, which consists of an adaptive robust control for the slow subsystem and a state feedback control for the fast subsystem, is proposed to effectively handle parametric uncertainties and uncertain nonlinearities as well as improve behavior of internal dynamics. Moreover, the clear connection of achievable performances and control parameters based on the stability analysis of the entire system is addressed. The experimental results indicate that precise tip tracking with small link deflection for the FLM working on different conditions can be achieved with the proposed TTSARC.

Model fire test and similarity relationship development of RC columns subjected to uneven fire exposure

The model fire test of reinforced concrete components typically requires a furnace temperature-rising curve that is significantly higher than that of the prototype, according to traditional similarity theory. However, this requirement can sometimes render the model fire test infeasible due to surpassing the heating capacity of the furnace. To address this challenge, the present study conducts experiments and finite element analysis (FEA) on geometrically similar, reinforced, square concrete columns of various sizes exposed to fire from two or three sides, using the ISO 834 standard fire curve for all columns. The fire resistance results from experiments and FEA are utilized to derive similarity relationships for the time scale of the model to prototype columns. The similarity in the thermal–mechanical response of the model and prototype columns under the proposed time scale is evaluated and validated using experimental data from this study and previous research. The findings indicate that good similarity between the mechanical response and fire resistance of the model and prototype columns can be attained as long as the model and prototype columns exhibit similar average sectional temperatures and similar temperatures near the rebar. By normalizing the time scale using s1.19 for 2-sided heating and s1.29 for 3-sided heating, where s represents the geometric scale factor of model to prototype, the data from the model column under standard fire effectively predicts the axial deformation development and fire resistance of the prototype column. Although there is a certain deviation in the temperature near the fire exposure surface and concrete center of the model and prototype columns under the proposed time scale factor, this discrepancy does not significantly affect the similarity of their mechanical response.

Field Programmable Analog Array Based Non-Integer Filter Designs

The approximation of the frequency behavior of fractional-order, power-law, and double-order filters can be performed by the same rational integer-order transfer function. This can be achieved through the utilization of a curve fitting based approximation. Moreover, their implementation can be performed by the same core, by only changing the corresponding time constants and scaling factors. The aforementioned findings are experimentally verified using a Field Programmable Analog Array device.

Changes in Temperature‐Precipitation Compound Extreme Events in China During the Past 119 Years

AbstractThis study analyzes the change characteristics of compound extreme events (CEEs) of temperature and precipitation (including warm‐wet, warm‐dry, cold‐wet and cold‐dry) in China on interannual and interdecadal scales between 1901 and 2019. The results demonstrate a long‐term increasing trend and interdecadal oscillations in CEEs total frequency. However, the frequency of each type of CEEs changes in a different manner compared with total CEEs frequency. There are fewer CEEs but increasing warm‐dry during 1901–1950. The period 1951–1995 are characterized by frequent cold CEEs (cold‐wet and cold‐dry), cold‐wet are largely distributed in most areas except for northeast and coastal areas of China, while cold‐dry are distributed in most areas except for the northwest regions of China. There are frequent warm CEEs (warm‐wet and warm‐dry) and fewer cold CEEs during 1996–2019. Warm‐wet frequently occurs in the Tibetan Plateau and northwest China, and warm‐dry mainly concentrates in southwest and northern China during this period. The frequency of warm‐dry and cold‐wet were higher than that of warm‐wet and cold‐dry over the past 119 years, whereas warm‐wet increased fastest in the northwest region after 1996, consistent with the warming and wetting characteristics in the northwest region of China. Further study show that long‐term change and low frequency oscillations have the greatest impact on CEEs among different time scale factors. Furthermore, the temperature rise caused by climate change affects the interdecadal characteristics of CEEs in China through the changes of circulation fields such as East Asian trough and subtropical high and the configuration between them.

Genesis of chimera patterns through self-induced stochastic resonance

Noise induced order in excitable systems has diverse manifestations, such as coherence resonance (CR) and stochastic resonance. In this context a less explored phenomenon is self-induced stochastic resonance (SISR). Unlike CR, SISR may arise away from the bifurcation threshold and the properties of the induced oscillations depend upon both the noise intensity and the time-scale separation factor. In this work, we report a new chimera pattern in a network of coupled excitable units, namely the self-induced stochastic resonance chimera or SISR-chimera that originates from the SISR phenomenon. We explore the detailed dynamics of the SISR-chimera in the parameter space using proper quantitative measures. We observe that unlike CR chimera, the SISR-chimera pattern strongly depends upon the ratio of time scale and noise intensity. Therefore, this type of chimera pattern can be induced even for a tiny noise intensity if the time scale separation of the activator and inhibitor is large enough.

Smooth particle hydrodynamics: a meshless approach for structural mechanics

This article provides an overview of the smooth particle hydrodynamics (SPH) approach and its mathematical modeling. SPH is a numerical technique based on a mesh-free Lagrangian scheme for evaluating the continuum mechanics problems. This method is suitable in the case of continuum objects undergoing large deformation, as conventional finite element methods are unreliable due to mesh failure and convergence issues. It is a widely used approach in the field of astrophysics, fluid mechanics, structural mechanics, soil mechanics, automobiles, and so on. A numerical example is also considered in this research paper to demonstrate the applicability of the method. The simulation process was achieved using LS-Dyna explicit solver software, and plots related to cutting and thrust forces, von Mises stress, plastic strain, temperature distribution, and so on, were obtained. Also, the effect of Time-Scaling Factor (TSSFAC) on SPH simulations was observed in this research.

An improved sliding window - long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics

Capacity estimation plays a significant role in ensuring safe and acceptable energy delivery, especially under real-time complex working conditions for whole-life-cycle lithium-ion batteries. For high-precision and robust capacity estimation, an improved sliding window-long short-term memory (SW-LSTM) modeling method is proposed by introducing multiple time-scale charging characteristic factors. The optimized feature information set is extracted by constructing an optimized differential integration-moving average autoregressive (DI-MAA) model, which is introduced as the input matrices of the whole-life-cycle capacity estimation model. With the constructed DI-MAA model, the relevant features are effectively extracted, overcoming the data limitation problem of the long-term dependence capacity estimation. For the experimental test, the maximum capacity estimation error is 3.56 %, and the average relative error is 0.032 under the complex Beijing bus dynamic stress test working condition. The proposed SW-LSTM estimation model with optimized DI-MAA-based data pre-processing treatment has high stability and robust advantages, serving an effective safety assurance for lithium-ion batteries with real-world complex working condition adaptation advantages.

Features of application of fractal Gaussian noise type signals in telecommunication systems

Problem statement. At present, the properties of a separate type of pseudorandom signals such as fractal Gaussian noise remain insufficiently investigated. The existing discrete model of fractal Gaussian noise is characterized by the value of the Hurst exponent and the time scaling factor, the influence of which on the properties of fractal Gaussian noise is insufficiently investigated. The issue of synthesis of new types of fractal broadband signals of complex design, which can be used in noise-resistant telecommunication systems, is relevant. Objective. Based on the mathematical model of fractal Gaussian noise, investigate the effect of the time scaling factor on the statistical, correlation and energy properties of fractal Gaussian noise signals. Results. By the method of averaging over realizations the dependences of energy, correlation and statistical properties of signals of fractal Gaussian noise type, which can be used for coding information bits, on the time scaling factor were obtained. Practical significance. According to the results of research on the properties of fractal Gaussian noise, the regularities of the passage of self-similar flows of Internet traffic in the approximation that they are self-similar and are described by a mathematical model of fractal Gaussian noise are established. When the intensity is increased up to requests/hour, the results of modeling the average transit time of traffic through the system for flows with different types of distribution show significant differences in the value of the average transit time of each request.

Star-formation-rate estimates from water emission

Context. The star-formation rate (SFR) quantitatively describes the star-formation process in galaxies throughout cosmic history. Current ways to calibrate this rate do not usually employ observational methods accounting for the low-mass end of stellar populations as their signatures are too weak. Aims. Accessing the bulk of protostellar activity within galactic star-forming regions can be achieved by tracing signposts of ongoing star formation. One such signpost is molecular outflows, which are particularly strong at the earliest stages of star formation. These outflows are bright in molecular emission, which is readily observable. We propose to utilize the protostellar outflow emission as a tracer of the SFR. Methods. In this work, we introduce a novel version of the galaxy-in-a-box model, which can be used to relate molecular emission from star formation in galaxies with the SFR. We measured the predicted para-water emission at 988 GHz (which is particularly bright in outflows) and corresponding SFRs for galaxies with LFIR = 108 − 1011 L⊙ in a distance-independent manner, and compared them with expectations from observations. Results. We evaluated the derived results by varying star-forming parameters, namely the star formation efficiency, the free-fall time scaling factor, and the initial mass function. We observe that for the chosen water transition, relying on the current Galactic observations and star formation properties, we are underestimating the total galactic emission, while overestimating the SFRs, particularly for more starburst-like configurations. Conclusions. The current version of the galaxy-in-a-box model only accounts for a limited number of processes and configurations, that is, it focuses on ongoing star formation in massive young clusters in a spiral galaxy. Therefore, the inferred results, which underestimate the emission and overestimate the SFR, are not surprising: known sources of emission are not included in the model. To improve the results, the next version of the model needs to include a more detailed treatment of the entire galactic ecosystem and other processes that would contribute to the emission. Thus, the galaxy-in-a-box model is a promising step toward unveiling the star-forming properties of galaxies across cosmic time.

Two-Level Scheme for Identification of the Relaxation Time Spectrum Using Stress Relaxation Test Data with the Optimal Choice of the Time-Scale Factor.

The viscoelastic relaxation spectrum is vital for constitutive models and for insight into the mechanical properties of materials, since, from the relaxation spectrum, other material functions used to describe rheological properties can be uniquely determined. The spectrum is not directly accessible via measurement and must be recovered from relaxation stress or oscillatory shear data. This paper deals with the problem of the recovery of the relaxation time spectrum of linear viscoelastic material from discrete-time noise-corrupted measurements of a relaxation modulus obtained in the stress relaxation test. A two-level identification scheme is proposed. In the lower level, the regularized least-square identification combined with generalized cross-validation is used to find the optimal model with an arbitrary time-scale factor. Next, in the upper level, the optimal time-scale factor is determined to provide the best fit of the relaxation modulus to experiment data. The relaxation time spectrum is approximated by a finite series of power-exponential basis functions. The related model of the relaxation modulus is proved to be given by compact analytical formulas as the products of power of time and the modified Bessel functions of the second kind. The proposed approach merges the technique of an expansion of a function into a series of independent basis functions with the least-squares regularized identification and the optimal choice of the time-scale factor. Optimality conditions, approximation error, convergence, noise robustness and model smoothness are studied analytically. Applicability ranges are numerically examined. These studies have proved that using a developed model and algorithm, it is possible to determine the relaxation spectrum model for a wide class of viscoelastic materials. The model is smoothed and noise robust; small model errors are obtained for the optimal time-scale factors. The complete scheme of the hierarchical computations is outlined, which can be easily implemented in available computing environments.

New observing strategies testbed: A digital prototyping platform for distributed space missions

AbstractThe New Observing Strategies Testbed (NOS‐T) is a digital engineering environment for enabling distributed space mission (DSM) technology demonstrations. Its event‐driven architecture enables users to orchestrate DSM test campaigns by developing applications that communicate state changes via messages. NOS‐T is motivated by requirements such as geographical distribution, cross‐boundary participation, wide applicability, and usability that make it unique in this field. This article introduces NOS‐T and describes its architecture in the context of an example DSM test suite, FireSat+. The scalability of NOS‐T is demonstrated with a performance assessment of its capabilities under a stress test of high message frequency and payload size, which are both related to the complexity of potential user‐generated test cases. Results show that message periodicity has no significant effect on median delay time over the ranges sampled; however, the message payload size induces linear growth in median delay time of approximately 1.5 ms per kB. Future NOS‐T applications can adjust the execution time scaling factor and message payload size to match operational constraints on allowable delay.

A wavelet multifractal model for quality of life index measuring during pandemics and crises

AbstractIn the present article, we investigate the impact of the timescale factor on the quality of life index behaviour on specific time intervals characterized by the presence of socio‐economic, political, and/or health severe movements such as pandemics and crises. We essentially aim to show that effectively the quality of life evaluation based on a single index as in the existing studies may be described more adequately by a variable index due to the social, political, economic, and also healthy environment. The variability discovered is expressed by the existence and the estimation of a multi‐index instead of a single one with relatively too many factors. Our focus is mainly on the effect of the COVID‐19 pandemic and crises or crashes on the quality of life. It turns out that the first essays of empirical treatments of such a series bring out a fractal/multifractal aspect. This motivates our main idea reposing on the fractal/multifractal structure of the data to construct a quantitative model based on wavelets combined with change‐point analysis. Our model is applied empirically on a sample corresponding to Saudi Arabia as a case of study during the period from January 1990 to December 2021. The end of this period is strongly affected by the COVID‐19 pandemic. The sample is based on social media conversations and texts discussing and describing the satisfaction with the quality of life. The study confirms effectively that the role of the timescale factor is more described when considering a multi‐index rather than measurement on the whole time interval. Besides, this multi‐index is clearly illustrated by means of the multifractal spectra of the data used.

A decoupled algorithm for cable parameter identification by frequency‐ratio‐offset

AbstractThis paper proposes a frequency‐ratio‐offset (FRO)‐based parameter identification algorithm for real bridge cables. By introducing specific time and space scaling factors, the dynamic equation is fully nondimensionalized and reduced to a most concise form, independent of all distributed cable parameters. As a result, the frequency equation has only two variables, which can be easily solved to obtain the universal dimensionless frequency–length curve under specified boundary conditions. Based on these curves, a decoupled identification algorithm is constructed, using the newly defined FRO as a bridge to directly connect the dimensionless beam and its real‐world counterpart. The algorithm enables a simultaneous determination of any two of the three cable parameters using a pair of measured frequencies. Examples involving both laboratory tests and real‐life applications demonstrate the effectiveness and accuracy of the algorithm. Based on a statistical analysis of the fitness of dozens of predicted and measured frequencies, a guideline for frequency selection is suggested, and the influence of measurement error on the identification results is discussed. The proposed algorithm could become a convenient tool for engineers to efficiently identify multiple parameters (e.g., tension and bending stiffness) for a broad class of bridge cables.