Sonic Waves Research Articles

Efficacy of intravascular lithotripsy (IVL) in coronary stenosis with severe calcification: a systematic review and meta-analysis of 38 studies

Abstract Introduction Heavily calcified coronary lesions impede appropriate stent deployment and expansion, increasing the risk of complications. Intravascular Lithotripsy (IVL) technology disrupts subendothelial calcification by using localized pulsative sonic pressure waves and is a promising technique for patients with severe coronary calcification. Purpose Our aim was to systematically review and summarize available data regarding the safety and efficacy of IVL in preparing severely calcified plaques in coronary before stenting. Methods This study was conducted according to the PRISMA guidelines. We systematically searched PubMed, SCOPUS, and Cochrane databases from their inception to February 23, 2023, for studies assessing the characteristics and outcomes of patients undergoing IVL before stent implantation. The diameter of the vessel lumen before and after IVL as well as stent implantation were analyzed. The occurrence of peri-procedural complications and major adverse cardiovascular events (MACE) in a 30-day period were assessed using a random-effects model. Results This meta-analysis comprised 38 studies including 2,977 patients with heavily calcified coronary lesions. The mean age was 72.2 ± 9.1 years, with an overall IVL procedural success rate of 98% (95% CI: 96%-99%, I2=69.2%) and clinical success of 96% (95% CI: 93%-98%, I2=72.2%), while the in-hospital and 30-days incidence of MACE, myocardial infarction (MI) and death were 8% (95% CI: 6%-11%, I2=84.5%), 5% (95% CI: 2%-8%, I2=85.6%) and 2% (95% CI: 1%-3%, I2=69.3%), respectively. There was a significant increase in the vessel diameter (SMD: 2.47, 95% CI: 1.77-3.17, I2=96%) and a decrease in diameter stenosis (SMD: -3.44, 95% CI: -4.36 to -2.52, I2=97.5%) immediately after IVL application, while it was observed further reduction in diameter stenosis (SMD: -6.57, 95% CI: -7.43 to -5.72, I2=95.8%) and increase in the vessel diameter (SMD: 4.37, 95% CI: 3.63-5.12, I2=96.7%) and the calculated lumen area (SMD: 3.23, 95% CI: 2.10-4.37, I2=98%), after stent implantation. The mean acute luminal gain following IVL and stent implantation was estimated to be 1.27 ± 0.6 mm and 1.94 ± 1.1 mm, respectively. Peri-procedural complications were rare, with just a few cases of perforations, dissection, or no-reflow phenomena recorded. Conclusions The present meta-analysis shows that IVL constitutes an effective and safe technique for preparing severely calcified lesions before stent implantation in coronary arteries. These results support the use of IVL in the high procedural risk setting of severe coronary calcification.

Efficacy of Intravascular Lithotripsy (IVL) in peripheral lesions with severe calcification and its use in TAVI procedure: A systematic review and meta-analysis

Abstract Background Heavily calcified peripheral artery lesions increase the risk of vascular complications, constituting a severe challenge for the operator. Intravascular Lithotripsy (IVL) technology disrupts subendothelial calcification by using localized pulsative sonic pressure waves and is a promising technique for patients with severe calcification in peripheral arteries. Purpose Our aim was to systematically review and summarize available data regarding the safety and efficacy of IVL in preparing severely calcified plaques in peripheral arteries and its use in Transcatheter Aortic Valve Implantation (TAVI). Methods This study was conducted according to the PRISMA guidelines. We systematically searched PubMed, SCOPUS, and Cochrane databases from their inception to February 23, 2023, for studies assessing the characteristics and outcomes of patients undergoing IVL in peripheral vasculature. The diameter of the vessel lumen before and after IVL was estimated. The occurrence peri-procedural complications were assessed using a random-effects model. Results 20 studies with a total of 1,223 patients with heavily calcified peripheral lesions were analyzed. The mean age of the cohort was 73.8 ± 8.9 years. Successful IVL delivery achieved in 100% (95% CI: 100%-100%, I2=0%), with an increase in the luminal diameter (SMD: 4.66, 95% CI: 3.41-5.92, I2=90.8%) and reduction in diameter stenosis (SMD: -4.15, 95% CI: -4.75 to -3.55, I2=92.8%), and a described low rate of complications. There was not observed any dissection in 97% (95% CI: 91%-100%, I2=81.4%), while dissections of any type (A, B, C, or D) were observed in 6% (95% CI: 2%-10%, I2=85.3%) of the patients. Several rare cases of abrupt closure, no-reflow phenomenon, perforation, thrombus formation, and distal embolization were recorded. Finally, the subgroup analysis of patients who underwent a TAVI with IVL assistance presented successful implantation in 100% (95% CI: 100%-100%, I2=0%) of the cases, with only 4% (95% CI: 0%-12%, I2=68.96%) presented dissections of any sort. Conclusions IVL seems to be an effective and safe technique for preparing severely calcified lesions in peripheral vessels during TAVI interventions. These results support the use of IVL for amelioration of overall outcome in high vascular risk TAVI settings.

Machine learning application for prediction of sonic wave transit time - A case of Niger Delta basin

Sonic wave transit times are the major logs for estimating pertinent geomechanical parameters including overburden stress, pore pressure, effective stress, and unconfined compressible strength among others. These logs contain much important information about subsurface formation. However, in most oil and gas exploration wells, these logs are not usually acquired in all the wells which can be attributed to the high cost involved in logging. The application of the data-driven ML model has rarely been used for compressional and shear sonic logs (DTP and DTS) prediction within the Niger Delta basin where many reports of geomechanical instabilities have been reported. In this study, seven machine learning algorithms namely linear regression (LR), K-nearest neighbour (KNN), support vector regressor (SVR), random forest regressor (RFR), Extreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost), and back propagation artificial neural network (BPANN) were employed for prediction of DTP and DTS from conventional wireline logs data and their results were compared. For DTP prediction, the best model achieved a coefficient of determination (R2) value of 90 % using CatBoost. Also, CatBoost produced the model for DTS prediction with an R2 value of 95 %. A comparison results of the seven ML algorithms showed that six models performed really well for DTP and DTS predictions with a value of R2 > 80 % and 90 % respectively. In contrast, the worst performance models are LR for DTP prediction and SVR for DTS prediction. The blind testing carried out on some selected wells affirmed the efficiency of the proposed technique producing R2 values ranging from 92 to 94 % for DTP prediction and 94–99 % for DTS prediction. This present study confirmed the ability of building efficient ML models for estimating and predicting DTP and DTS which can be used to estimate geomechanical parameters in wells where both are not available.

Intravascular Lithotripsy for Calcified Left Main Artery Disease.

Left main coronary artery disease subtends a large area of potentially jeopardized myocardium. Percutaneous coronary intervention for severe left main coronary artery disease is a reasonable treatment option for select patients. Severe coronary artery calcium of the left main artery increases the complexity of percutaneous coronary intervention and is associated with increased risk of periprocedural complications and worse long-term clinical outcomes. Intravascular lithotripsy (IVL) utilizes sonic pressure waves to modify severe coronary artery calcium and has emerged as a safe and effective alternative to coronary atherectomy. However, left main lesions were excluded from regulatory approval clinical trials of IVL. Herein, we review all available data regarding the use of IVL treatment for severe left main coronary artery disease.

Combination of sonic wave velocity, density and electrical resistivity for joint estimation of gas-hydrate reservoir parameters and their uncertainties

Combination of sonic wave velocity, density and electrical resistivity for joint estimation of gas-hydrate reservoir parameters and their uncertainties

Acousto-optic modulation of gigawatt-scale laser pulses in ambient air

Control over the intensity, shape, direction and phase of coherent light is essential in numerous fields, from gravitational wave astronomy, quantum metrology and ultrafast sciences to semiconductor fabrication. Modern photonics, however, can involve parameter regimes where the wavelength or high optical powers involved restrict control due to absorption, light-induced damage or optical nonlinearity in solid media. Here we propose to circumvent these constraints using gaseous media tailored by high-intensity ultrasound waves. We demonstrate an implementation of this approach by efficiently deflecting ultrashort laser pulses using ultrasound waves in ambient air, without the use of transmissive solid media. At optical peak powers of 20 GW, exceeding previous limits of solid-based acousto-optic modulation by about three orders of magnitude, we reach a deflection efficiency greater than 50% while preserving excellent beam quality. Our approach is not limited to laser pulse deflection; gas-phase photonic schemes controlled by sonic waves could potentially be useful for realizing a new class of optical elements such as lenses or waveguides, which are effectively invulnerable against damage and can operate in new spectral regions.

Sonochemical treatment of packaging materials for prolonging fresh produce shelf life

Packaging bags made of polyethylene (PE) were sonochemically coated with edible antibacterial nanoparticles of chitosan (CS). In this work, the nanoparticles (NPs) were deposited on the surface of PE packaging bags by applying sonication waves on an acetic solution of chitosan. The characterization of CS NPs and PE bags was conducted by physicochemical techniques. The results showed that the coated bags had longer freshness than the uncoated ones. Furthermore, the characterization of cucumber, mushroom, and garlic placed into coated and uncoated PE bags was conducted by monitoring various parameters such as mass loss, total soluble solids, pH, and visual inspection. The study revealed that the PE bags coated with CS NPs showed a noticeable result in extending the shelf life of fresh produce. Finally, the antibacterial activity of PE bags was evaluated against various bacterial species. Hence, the PE bags coated with CS NPs could be a promising candidate for elongating the shelf life of packaged fresh produce.

Synthesizing Missing Travel Time of P-Wave and S-Wave: A Two-Stage Evolutionary Modeling Approach

Acquiring sonic waves is an essential part of oil and gas exploration as they give critical information about the well’s data and lithography at each well depth progression. However, these measurements are not always accessible, making analysis challenging. As computational power has improved, machine learning methods may now be used to predict these values from other data. Nonetheless, one shortcoming of existing models is that the most of them are not transparent (i.e., black box models). As a result, although promising great performance, they do not offer much insights to petrophysicists and geologists. This research aims to generate mathematical models for predicting compression wave (P-wave) and shear wave (S-wave) readings using a multistage evolutionary modelling approach. In particular, a multistage equation modelling approach using tree-based Genetic Programming (GP) and Adaptive Differential Evolution (ADE) is proposed. The obtained best mathematical models yield R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> of 0.745 and 0.9066 for P-wave and S-wave regression on normalized data, respectively. The average performance of models are R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> = 0.90 (P-Wave) and R <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> = 0.75 (S-Wave). The performance of these mathematical models are comparable with other ”black box” models but with more compact mathematical approach in regression thereby opening opportunities for interpretability and analysis. Finally, the ”white box” models presented in this paper can be fine-tuned further as needed.

Deformation behavior of a regional shale formation from integrated laboratory and well data analysis: insights for underground fluid storage in northern Italy

The Po Plain in northern Italy is one of the most populated and industrialized European regions and hosts numerous gas fields, which have been in production for decades. Several reservoirs were subsequently converted into underground storage sites for natural gas (UGS) while others are currently candidates for future storage of CO2 or H2. In all cases, the reservoir caprock confining the fluids underground is the Argille del Santerno formation. The Argille del Santerno is a good-quality shale; it has a thickness ranging from several tens to hundreds of meters and it extends across a large part of the subsurface of the Po Plain. The part of the formation that acts as a caprock for the main reservoirs lies at an average depth of 1200–1500 m.The scope of the present work was to obtain a sound evaluation of Young's modulus of the Argille del Santerno based on experimental data so as to describe the deformation behavior of the formation at current or prospective storage sites. To this end, we collected and analyzed a wide range of data from triaxial tests, ultrasonic laboratory analysis, and well logs from 6 different locations (corresponding to 6 reservoirs) in the Po Plain. Our dataset was enriched by publicly available log data, which we used for stratigraphic correlation purposes and identification of the Argille del Santerno throughout the Po Plain. An empirical relation between Young's modulus from log data and depth was inferred. Discrepancies among the results of the analyses are presented and discussed. We investigated the effects of alteration of cementation, diagenetic and aging behavior due to sampling operations, and the impact of the investigation techniques at the specimen scale (triaxial test and sonic wave propagation data) on Young's modulus values. This was done to explain the differences between lab and well values.This paper provides a unique characterization of the Young's modulus of the Argille del Santerno at a regional scale, to serve as a reference for reliably predicting ground-level movements induced by underground storage activities.

Prediction of Sanding Likelihood Intervals Using Different Approaches

Sand production is undesirable matters, occurring in wells that are producing from sand reservoirs. It causes many problems such as erosion and grains accumulation in downhole and surface equipment’s, and formation subsidence. Important stage in sanding problem solution is a prediction of likelihood sand production intervals. In present paper, a vertical well X1 that is producing from Asmari reservoir in Y field at southern Iraq was selected for study. Asmari reservoir was classified to six units: A, B1, B2, B3, B4, and C. B zones consisted from sandstone with others rock types. Eight approaches were used for prediction sanding onset intervals by dealing with X1 well as open hole completion. Utilized eight prediction methods are compressional sonic wave (CSW), unconfined compressive strength (UCS), total porosity (PHIT), shear modulus to bulk compressibility (G/Cb), B-Index, Schlumberger index (S- Index), combined index (Ec-Index) and critical drawdown pressure (CDDP). All these methods performed based on 2462 measured points of CSW, sonic shear wave log (SSW), and density log (DL). Sand production likelihood intervals was selected by determination of cutoff values of adopted methods. Sand is possible to occur if interval has values lower than cutoff values of G/Cb, UCS, B-Index, S-Index, Ec, and CDDP and greater than cutoff values of CSW, and PHIT. Obtained cutoff values of eight approaches were 800 x 109 psi2, 36 Mpa, 0.2, 80 us/ft, 10000 Mpa, 108 Mpa, and 2700 Mpa, of G/Cb, UCS, PHIT, CSW, B-Index, S-Index, and Ec respectively. As well as sand production is possible to occur of bottomhole flowing pressure lower than calculated CDDP. Some Intervals had high CDDP that referred to abnormal pressure zones consisted from shale. Determination of sand onset intervals is a key for selecting best methods for controlling.

On the stability of piston-driven planar shocks

We present a theoretical and numerical stability analysis for a piston-driven planar shock against two-dimensional perturbations. The results agree with the well-established theory for isolated planar shocks: in the range of $h_c&lt; h&lt;1+2 {\mathcal {M}}_2$ , where $h$ is the D'yakov–Kontorovich (DK) parameter related to the slope of the Rankine–Hugoniot curve, $h_c$ is its critical value corresponding to the onset of the spontaneous acoustic emission (SAE) and ${\mathcal {M}}_2$ is the downstream Mach number, non-decaying oscillations of shock-front ripples occur. The effect of the piston is manifested in the presence of additional frequencies occurring by the reflection of the sonic waves on the piston surface that can reach the shock. An unstable behaviour of the shock perturbation is found to be possible when there is an external excitation source affecting the shock, whose frequency coincides with the self-induced oscillation frequency in the SAE regime, thereby being limited to the range $h_c&lt; h&lt;1+2 {\mathcal {M}}_2$ . An unstable evolution of the shock is also observed for planar shocks restricted to one-dimensional perturbations within the range $1&lt; h&lt;1+2 {\mathcal {M}}_2$ . Both numerical integration of the Euler equations via the method of characteristics and theoretical analysis via Laplace transform are employed to cross-validate the results.

Study of Micro Annulus Analysis of Cement Bond Evaluation by using Logging Tools

This paper outlines and measures the significance of the cement-bond-log (CBL) tool for cement evaluation programs. And these tool evaluations are often challenged, as is their ability to determine the association between the 􀁆􀁈􀁐􀁈􀁑􀁗􀂶􀁖 compressive strength and the existence of poor cementing bonding. Casing dimensions have an impact on the connection, but cement type and drying conditions have no bearing on them. Significance of certain geometrical parameters on the cement bond log's primary output, or the attenuation of a sonic wave traveling along an interface between cement and casing. For a variety of cement densities, sonic attenuation rates were connected to compressive strengths. There is a discussion of certain experimental logging samples and cementing operation details. Moreover, data connecting attenuation rates to cement densities and compressive strengths are shown.

Use of longitudinal wave in non-destructive methods: approach to foundation and retaining elements

Non-destructive tests (NDT) are used to verify the length or integrity of elements embedded in soils or rocks. These elements can be piles in foundations or nails and tiebacks in retaining walls. NDTs differ by the types of waves, ways to generate and receive the signal and to analyze data. Tests using sonic wave do not require a pre-installed pipe or wire and they are based on acoustic impedance theory. Despite its dissemination on piles, the application in retaining elements is recent and requires more studies to increase knowledge about these methods. This paper aims to present studies of sonic wave methods in foundation and retaining elements, presenting results, similarities, and differences. Studies from different dates are presented with their relevance, considerations for the different types of elements tested, objectives and methodologies used, to evidence the variables involved within this solution. The sonic test in foundation is widespread and has a greater number of studies. Withing this paper, the variables that interfere in the results of these methods were observed: the velocity of propagation of the sonic wave, the soil stiffness, the location of wave generation and reception and the type of hammer used, evidencing the necessity of further studies, especially in retaining elements.

Dynamics of Sonic Wave under Reflection and Transmission at the Interface of Water and Sand Saturated with Water or Gas Hydrate

Dynamics of Sonic Wave under Reflection and Transmission at the Interface of Water and Sand Saturated with Water or Gas Hydrate

An automated sonic tomography system for the inspection of historical masonry walls.

Background: The conservation of the built masonry heritage requires a comprehensive understanding of its geometrical, structural, and material characteristics. Non-destructive techniques are a preferred approach to survey historical buildings, given the cultural value of their fabric. However, currently available techniques are typically operated manually, consuming much time at operational and processing level and thus hindering their use for the on-site inspection of heritage structures. Methods: A novel automated sonic tomography system was designed and built to inspect and obtain information about the inner structure and damage of historic masonry walls. The system consists of a hitting device mounted on a frame that can be placed adjacent to the wall under analysis. The hitting device can move along the surface within the frame area in X, Y and Z directions, generating the sonic wave. The receiving system is a scanning laser vibrometer, able to measure from the distance the displacement of a focused point over time, recording the wave when it reaches the opposite surface. Results: Six stone masonry walls with different interior geometries were constructed at the laboratory by a professional stonemason. The construction of the walls was carefully documented, including the generation of detailed photogrammetric models of each single stone. The system was applied to survey the six masonry walls. Since the inner morphology of the walls is known, the resulting tomographic images could be compared with the ground truth. Conclusions: Automating the inspection allowed to collect thousands of data in a few hours. New software was also developed to automate the processing of the data. Results are expected to highlight the potential of tomography to obtain quantitative information about the interior of heritage structures, while providing new tools that make the implementation of the technique more practical for professionals. Data, software and models have been made publicly available.

RDNN for Classification and Prediction of Rock or Mine in Underwater Acoustics

Mines in the waters are just explosives that detonate upon contact with an object. The underwater submarine must foresee if it will encounter a mine or a rock. Lacking the development of the Ranging Sound Navigation approach, which utilizes particular variables to identify whether a surface or a barrier is made of a mine or rock, finding mines or rocks would have been extremely difficult. In our study, we demonstrate a technique for predicting underwater rocks and mines using SONAR waves. At 60 different angles, SONAR pings are employed to record the various frequencies of submerged objects. To identify whether the object in the ocean is a mine or just a rock, the submarine uses SONAR signals, which transmit sound and receive switchbacks. The mine and rock categories are predicted using the prediction models. To create these prediction models, Supervised Machine Learning Classification methods were employed.

Density and Small Disturbance Equation-Based Simulation of Designed Bipalne Airfoil Under Supersonic Flow

For inviscid airflows, the small disturbance equation (SDE), as a condensed form of the full potential equation, is an effective approach for characterising the behaviour of this type of airflow in the presence of thin obstacles in its path. Density-based solutions (DBS) are frequently used by ANSYS to model the airflow behavior under the same environment. Through the impact of shock interference between the target wings, special Bussemann-type supersonic biplane designs can be effective in restricting sonic booms and wave drags in particular supersonic conditions. The modeling investigations of the shock oscillations produced between the wings are quite rare, nevertheless. Therefore, in order to replicate the behavior of the airflow over the target wing in supersonic settings and to compare the results more closely to reality, the Small Disturbance Equation (SDE) and the Density Based Solution (DBS) will be employed as efficient simulation tools in this study. The SDE results are vulnerable to inaccuracies because of the constraints of the simulation settings, whereas the DBS results are more accurate when compared to the exact simulation results. Overall, the DBS simulation results and the legit results are consistent, indicating that the inviscid airflow hypothesis is a feasible option for modelling the effectiveness of shock oscillations between wings. The SDE approach, which is implemented in Python and is a condensed version of the en-tire potential equation, offers a lot of space for development as it only does simulations in terms of velocity in this article and ignores the pressure and density elements.

Intelligent Approach for Investigating Reservoir Heterogeneity Effect on Sonic Shear Wave

Heterogeneity refers to a not uniform distribution of reservoir properties. To overcome the problem of heterogeneity, most reservoir studies split the reservoir into different zones. In general, this disparity affects all log tools. Sonic shear wave time (SSW) is a critical metric in geomechanical modeling that is strongly influenced by reservoir heterogeneity and the kind of porous fluid composition. To detect the effect of reservoir heterogeneity on SSW prediction, an artificial neural network (ANN) was applied as an intelligent technique. One Iraqi vertical well that penetrated the Asmari reservoir was selected for this study. It contains 2462 SSW measured points as well as the following seven log parameters: Gamma Ray, Caliper, Density, Neutron, Compressional sonic, and True resistivity log over measured depth. Based on formation assessment and available well data, the Asmari reservoir was classified into six zones (with different lithology and different fluid content): A, B1, B2, B3, B4, and C. To investigate the effect of lithology on SSW, two runs of ANN had been conducted in this study. Initially, we developed a single ANN for all 2462 measured points, while in the second, six ANNs were built, one for each zone. The optimum structure for all the developed ANNs was obtained with one hidden layer of 12 neurons (7-12-1). The statistical parameters used for comparison are average percent error (APE), absolute average percent error (AAPE), standard deviation (SD), mean square error (MSE), and correlation coefficient (R2). It was observed that these parameters are approximately close to each other for the developed seven ANNs. The R2 values of the seven ANNs are 0.98 for all zones, and 0.99, 0.99, 0.99, 0.99, 0.99 and 0.96 for each zone respectively. The insignificant differences of results can be explained by the fact that the log readings (i.e. inputs variables) are already reflected the effect of lithology. Therefore, we recommended using the ANN based on 2462 for predicting SSW to any lithology zone. A mathematical model for representing the suggested ANN to simplify the calculation.

Subaqueous 3D stem cell spheroid levitation culture using anti-gravity bioreactor based on sound wave superposition

BackgroundRecently, various studies have revealed that 3D cell spheroids have several advantages over 2D cells in stem cell culture. However, conventional 3D spheroid culture methods have some disadvantages and limitations such as time required for spheroid formation and complexity of the experimental process. Here, we used acoustic levitation as cell culture platform to overcome the limitation of conventional 3D culture methods.MethodsIn our anti-gravity bioreactor, continuous standing sonic waves created pressure field for 3D culture of human mesenchymal stem cells (hMSCs). hMSCs were trapped and aggerated in pressure field and consequently formed spheroids. The structure, viability, gene and protein expression of spheroids formed in the anti-gravity bioreactor were analyzed by electron microscope, immunostaining, polymerase chain reaction, and western blot. We injected hMSC spheroids fabricated by anti-gravity bioreactor into the mouse hindlimb ischemia model. Limb salvage was quantified to evaluate therapeutic efficacy of hMSC spheroids.ResultsThe acoustic levitation in anti-gravity bioreactor made spheroids faster and more compact compared to the conventional hanging drop method, which resulted in the upregulation of angiogenic paracrine factors of hMSCs, such as vascular endothelial growth factor and angiopoietin 2. Injected hMSCs spheroids cultured in the anti-gravity bioreactor exhibited improved therapeutic efficacy, including the degree of limb salvage, capillary formation, and attenuation of fibrosis and inflammation, for mouse hindlimb ischemia model compared to spheroids formed by the conventional hanging drop method.ConclusionOur stem cell culture system using acoustic levitation will be proposed as a new platform for the future 3D cell culture system.Graphical

Research on blasting cumulative dynamic damage of surrounding rock in step construction tunnel

In the process of cyclic blasting during tunnel excavation, the reserved surrounding rock sustains irreparable damage accumulation. For safe tunnel construction, it is imperative to understand the characteristics of blasting dynamic cumulative rock damage. Sonic wave test and numerical simulation methods were applied to the research. The JH-2 model was adopted as the damage model of surrounding rock. Based on the data transfer method between solvers in ABAQUS software, the cumulative damage was calculated. The damage characteristics were obtained by combining the sonic wave test results. According to the research findings, the entire reserved surrounding rock has periodic damage characteristics. Each periodic damage area has a funnel shape along the tunnel’s longitudinal direction, with a length of 160 cm, and 1.07 times the excavation footage. The latter excavation footage's blasting effect on the damaged area of the previous footage rock is 40 cm long, with three cumulative damage patterns. The three cumulative damage patterns more clearly reveal the surrounding rock's additional damage law, the degree of additional damage is greatest with the distance of 5–20 cm from the latter excavation footage. The research can provide appropriate theoretical guidance for the design of the step-blasting construction tunnel's blasting scheme and lining.