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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 邱逢琛(Forng-Chen Chiu) | |
| dc.contributor.author | Wen-Chuan Tiao | en |
| dc.contributor.author | 刁文川 | zh_TW |
| dc.date.accessioned | 2021-06-12T18:08:51Z | - |
| dc.date.available | 2007-12-21 | |
| dc.date.copyright | 2007-12-21 | |
| dc.date.issued | 2007 | |
| dc.date.submitted | 2007-12-03 | |
| dc.identifier.citation | 1. Salvesen N, Tuck EO, Faltinsen O (1970) Ship motion and sea loads, Trans SNAME 78:250-279
2. Newman JN (1978) The theory of ship motions. Advances in Applied Mechanics, Academic Press, vol 18, New york. 3. Denis M, Pierson W (1953) On the motions of ships in confused seas. Trans SNAME 61:280-357 4. Fukuda J (1969) Statistical prediction for response of ship motion (in Japanese). In: Proceedings of the 1st Symposium on Seakeeping, Soc Nav Archit Jpn, Tokyo, pp 99-119 5. Nakamura T, Ota S, Nakajina Y (2001) Evaluation of expected maximum values of forces acting on containers and lashing rods on a container ship. J Mar Sci Tech 6:3-12 6. Toki N, Fukushima Y, Tozawa S, Wada Y (1994) On the characteristics and long-term prediction procedure of wave-induced pressure fluctuation on a VLCC hull (in Japanese). J Soc Nav Archit Jpn 176:375-385 7. Pastoor W (2000) On the assessment of nonlinear ship motions and loads. In: Proceedings of the 4th Osaka Colloquium on Seakeeping Performance of Ships. Osaka, Oct 18-20, pp 130-138 8. Beck RF, Magee AR (1990) Time-domain analysis for predicting ship motions. In: Price WG, Temarel P, Keane AJ (eds) Dynamics of Marine Vehicles and Structures in Waves. Elsivier Science, New York,, pp 49-64 9. Lin WM, Yue DKP (1990) Numerical solution for large-amplitude ship motions in the time domain. In: Proceedings of the 18th Symposium on Naval Hydrodynamics. Ann Aber, ONR, pp 41-66 10. Lin WM, Zhang S, Weems K, Yue DKP (1999) A mixed source formulation for nonlinear ship-motion and wave-load simulations. In: Proceedings of the 7th International Conference on Numerical Ship Hydrodynamics. Paris, France, Jul 19-22, pp 131–122 11. Miyake R, Kinoshita T, Kagemoto H. and Zhu T (2000) Ship motions and loads in large waves, In: Proceedings of 23rd ONR Symposium on Naval Hydrodynamics, pp 48-61 12. Qiu W, Peng H, Hsiung C (2000) Validation of time-domain prediction of motion, sea load, and hull pressure of a frigate in regular waves, In: Proceedings of 23rd ONR Symposium on Naval Hydrodynamics, pp 34-47 13. Kashiwagi M, Mizokami S, Yasukawa H, and Fukushima Y (2000) Prediction of wave pressure and loads on actual ships by the enhanced unified theory, In: Proceedings of 23rd ONR Symposium on Naval Hydrodynamics, pp 95-109 14. Zarnick EE (1978) A nonlinear mathematical model of motions of a planing boats in regular waves. DTNSRDC report 78-0032, Bethesda, David W. Taylor Naval Ship R&D Center. 15. Fujino M, Chiu FC (1983) Vertical motions of high-speed boats in head sea and wave loads (in Japanese). J Soc Nav Archit Jpn 154:151-163 16. Chiu FC, Lee YJ, Chou SK (1992) On water pressure acting on the bottom of a high-speed craft in head sea (in Japanese). J Soc Nav Archit Jpn 171:185-193 17. Winer W (1958) Nonlinear problems in random theory. Cambridge, Mass.: Technology Press; and New York: Wiley 18. Hasselmann K (1966) On nonlinear ship motions in irregular waves, J Ship Res 10: 64-68 19. O’Dea J, Powers E, Zselecsky J (1992) Experimental Determination of Nonlinearities in Vertical Plane Ship Motions, In: Proceedings of the 19th Symposium on Naval Hydrodynamics, Korea, ONR, pp 53-70 20. Adegeest L (1996) Third-order volterra modeling of ships responses based on regular wave results. In: Procedings of the 21st Symposium on Naval Hydrodynamics, Trondheim, ONR, pp 141-155 21. Fonseca N, Guedes Soares C (2004) Experimental investigation of the nonlinear effects on the vertical motions and loads of a containership in regular waves. J Ship Res 48:118-147 22. Fonseca N, Guedes Soares C (2004) Experimental investigation of the nonlinear effects on the statistics of vertical motions and loads of a containership in irregular waves. J Ship Res 48:148-167 23. Hansen Friis P, Winterstein SR (1995) Fatigue damage in the side shells of ships. Mar Struct 8:631-655 24. Folso R (1998) Spectral fatigue damage calculation in the side shells of ships, with due account taken of the effect of alternating wet and dry areas. Mar Struct 11:319-343 25. Tanizawa K, Taguchi H, Saruta T, Watanabe I (1993) Experimental study of wave pressure on VLCC running in short waves (in Japanese). J Soc Nav Archit Jpn 174:233-242 26. Ito A, Mizoguchi S (1989) Hydrodynamic pressure on a full ship in short waves, J Soc Nav Archit Jpn 166:251-258 27. Hermundstad OA, Moan T (2005) Numerical and experimental analysis of bow flare slamming on a Ro-Ro vessel in regular oblique waves. J Mar Sci Tech 10:105-122 28. Lundgren J (1997) USDDC OPV seakeeping tests in regular and irregular waves, SSPA report 97 4256-1. 29. Lundgren J (1998) USDDC OPV wave loads tests in regular and irregular waves, SSPA report 98 4253-1. 30. Schetzen M (1980) The volterra and wiener theories of nonlinear systems, Wiley, New York, pp 77-97 31. Bedrosian E, Rice S.O (1971) The output properties of volterra systems (nonlinear systems with memory) driven by harmonic and Gaussian inputs, Proceedings of the IEEE 59:1688-1707 32. Im S, Powers E.J (1996), A sparse third-order orthogonal frequency-domain volterra-like model, J Franklin Inst 333(B): 385-412 33. Kim S.B, Powers E.J (1993) Orthogonalised frequency domain volterra model for non-gaussian inputs, IEE proceedings-F 140:402-409 34. Bendat J.S (1990) Nonlinear system techniques and applications, Wiley, New York, pp 77-95 35. Samuel D.S, Ruth A.D (1998) Signal processing algorithms, Prentice-Hall, New Jersey | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/27537 | - |
| dc.description.abstract | 船舶高速航行於波浪中，其運動及壓力反應皆呈現非線性的行為，同時線性統計理論亦不足以對不規則波中的統計特性一窺全貌；另一方面，Volterra模式已被應用於船舶非線性運動時的統計特性分析。因此本文重點在探討高速船在波中運動時水壓所呈現的非線性特性，特別是在乾濕變換的水線附近及承受衝擊壓的艏底位置。為確立Volterra模式對水壓分析的有效性，進而規劃一系列以RD200船型為對象之曳航試驗，量測包含起伏及俯仰二個運動、加速度及船殼25點的水壓等項目，同時本文亦提出該模式所需之頻率響應函數的計算方式，並以三階及五階Volterra模式進行討論分析，其結果確立三階Volterra模式可充份掌握水壓在規則波中變化的非線性特性。此外更進一步的藉由非線性截片法在規則波中所建構之理論基礎，經由非線性Volterra模式所架構之平台，來評估該理論來預測不規則波統計特性之可行性。透過時域及分散譜比較，累進分布機率及機率密度函數等統計分析，驗證了該模式可掌握非線性及非高斯水壓變化的特性。 | zh_TW |
| dc.description.abstract | It is well known that the hydrodynamic responses of a high-speed vessel traveling in regular head waves even of moderate wave height can show significant nonlinear behavior, and so linear statistical techniques become insufficient for predicting the statistics of responses in irregular waves. On the other hand, it has been shown that an approximate third-order Volterra model is applicable to handling the statistics of some nonlinear seakeeping problems, such as motions and vertical hull girder loads. In the present study, the focus is on the nonlinear behavior of the pressure acting on the hull surface of a high-speed vessel in waves, especially on the pressure responses of alternately wet and dry areas near waterline and on the bow zone with high deadrise angles that may be subject to slight impact and water pile-up effects. To clarify the validity of applying Volterra modeling to this problem, a series of experiments in regular and irregular head waves are carried out, and approximate third-order and fifth-order Volterra models with proposed algorithm for finding frequency response functions (FRFs) were applied as a means of validation. It was confirmed that the approximate third-order Volterra model has adequate accuracy to simulate deterministically the variation of pressure responses in regular waves of different wave steepness up to a wave amplitude to wavelength ratio of 0.01 even for the highly nonlinear pressures acting on the above-mentioned areas of the hull surface. In additions, further validation was performed using experimental data and theoretical calculation in irregular waves. The frequency response functions (FRFs) obtained both from the experimental data or theoretical calculation in regular waves were applied to the approximate third-order Volterra model combining with the input of irregular waves to simulate deterministically the responses in irregular waves of sea state five, and then the spectra and statistics were analyzed. Through the comparisons of the simulated time histories, variance spectra, and statistics such as cumulative distributions of peak values, probability density functions with the experimental results of motions, accelerations and pressure responses in irregular waves, it was confirmed that the approximate third-order Volterra model has adequate accuracy to simulate deterministically and statistically the pressure responses in irregular head waves up to a sea state of five even for highly nonlinear and non-Gaussian pressures acting on the above-mentioned areas of the hull surface. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-12T18:08:51Z (GMT). No. of bitstreams: 1 ntu-96-D90525001-1.pdf: 7137828 bytes, checksum: c458d29bcf85b40e169b6ee229cc2f1b (MD5) Previous issue date: 2007 | en |
| dc.description.tableofcontents | Table of Contents
Abstract i Table of Contents iv List of Tables vii List of Figures ix List of Symbols xii 1. Introduction 1 1.1 Preface 1 1.2 Review and background 1 1.3 Framework of dissertation 5 2. Experiments 7 2.1 Experimental descriptions 7 2.2 Experimental conditions 9 2.3 Principle characteristics of incident wave 10 2.3.1 Regular wave characteristics 10 2.3.2 Irregular wave characteristics 11 3. Volterra modeling of a nonlinear system 13 3.1 Approximate Volterra model 13 3.2 Algorithm of finding Bj(ω) of FRFs.............................................................16 4. Simulation and comparison with experimental results in regular waves..................................................................................................................19 4.1 Comparisons of time histories by using third- or fifth-order Volterra modeling...................................................................................................19 4.2 Experimental results in regular waves.........................................................21 4.2.1 Mean values shift of responses...................................................................22 4.2.2 First harmonic components of responses...................................................23 4.2.3 Higher-order components of responses......................................................25 4.3 Harmonic components estimated by third- order Volterra modeling.......27 5. Simulation and comparison with experimental results in irregular waves.....................................................................................................................30 5.1 Comparisons of time histories......................................................................30 5.2 Simulation results in irregular waves..........................................................32 5.2.1 Response spectra........................................................................................32 5.2.2 Cumulative distributions of peak values of responses................................33 5.2.3 Probability density distribution of response...............................................35 6. Application of Volterra modeling to assess the nonlinear theory of ship responses..................................................................................................37 6.1 Formulation of a nonlinear strip synthesis.................................................37 6.1.1 Coordinate system.......................................................................................37 6.1.2 Sectional force components........................................................................38 6.1.3 Equations of motion....................................................................................40 6.1.4 Calculation of water pressure.....................................................................40 6.2 Comparisons of time histories in regular waves by using nonlinear strip synthesis...........................................................................................................42 6.3 Frequency response functions.......................................................................43 6.4 Simulated results of nonlinear strip synthesis in irregular waves...........45 6.5 Statistical characteristics in irregular waves.............................................46 7. Conclusions........................................................................................................49 References................................................................................................................52 Appendix A. Digital filter algorithms...............................................................87 Appendix B. Definitions of mathematical expression in motions..............90 Appendix C. Frequency response functions of measured responses.........91 Appendix D. Statistics of responses in irregular waves..............................118 Table 2.1 Principle particulars of the 1:36 model of a patrol ship...............................57 Table 2.2 Locations of pressure sensors. C.L., center line; W.L., calm water line......60 Table 2.3 Calibration record of pressure sensor..........................................................62 Table 6.1 Statistical analysis of the heave/pitch motions in irregular waves..............83 Table 6.2 Statistical analysis of the accelerations in irregular waves..........................84 Table 6.3 Statistical analysis of the pressures in irregular waves................................85 Table C.1 Frequency response functions of heave motion..........................................91 Table C.2 Frequency response functions of pitch motion...........................................92 Table C.3 Frequency response functions of acceleration, A1......................................93 Table C.4 Frequency response functions of acceleration, A2......................................94 Table C.5 Frequency response functions of acceleration, A3......................................95 Table C.6 Frequency response functions of acceleration, A4......................................96 Table C.7 Frequency response functions of pressure, P10, in the Z1 zone.................97 Table C.8 Frequency response functions of pressure, P11, in the Z1 zone.................98 Table C.9 Frequency response functions of pressure, P14, in the Z1 zone.................99 Table C.10 Frequency response functions of pressure, P18, in the Z2 zone..............100 Table C.11 Frequency response functions of pressure, P19, in the Z2 zone..............101 Table C.12 Frequency response functions of pressure, P20, in the Z2 zone..............102 Table C.13 Frequency response functions of pressure, P21, in the Z2 zone..............103 Table C.14 Frequency response functions of pressure, P22, in the Z3 zone..............104 Table C.15 Frequency response functions of pressure, P23, in the Z3 zone..............105 Table C.16 Frequency response functions of pressure, P24, in the Z3 zone..............106 Table C.17 Frequency response functions of pressure, P25, in the Z3 zone..............107 Table C.18 Frequency response functions of pressure, P12, in the Z4 zone..............108 Table C.19 Frequency response functions of pressure, P15, in the Z4 zone..............109 Table C.20 Frequency response functions of pressure, P2, in the Z4 zone................110 Table C.21 Frequency response functions of pressure, P13, in the Z5 zone..............111 Table C.22 Frequency response functions of pressure, P16, in the Z5 zone..............112 Table C.23 Frequency response functions of pressure, P3, in the Z5 zone................113 Table C.24 Frequency response functions of pressure, P5, in the Z6 zone................114 Table C.25 Frequency response functions of pressure, P6, in the Z6 zone................115 Table C.26 Frequency response functions of pressure, P8, in the Z6 zone................116 Table C.27 Frequency response functions of pressure, P9, in the Z6 zone................117 Table D.1 Statistical analysis of the stern accelerations, A4......................................118 Table D.2 Statistical analysis of the pressure responses, P11, in the Z1 zones..........118 Table D.3 Statistical analysis of the pressure responses, P14, in the Z1 zones..........119 Table D.4 Statistical analysis of the pressure responses, P18, in the Z2 zones..........119 Table D.5 Statistical analysis of the pressure responses, P19, in the Z2 zones..........119 Table D.6 Statistical analysis of the pressure responses, P21, in the Z2 zones..........120 Table D.7 Statistical analysis of the pressure responses, P22, in the Z3 zones..........120 Table D.8 Statistical analysis of the pressure responses, P24, in the Z3 zones..........120 Table D.9 Statistical analysis of the pressure responses, P25, in the Z3 zones..........121 Table D.10 Statistical analysis of the pressure responses, P12, in the Z4 zones........121 Table D.11 Statistical analysis of the pressure responses, P2, in the Z4 zones..........121 Table D.12 Statistical analysis of the pressure responses, P13, in the Z5 zones........122 Table D.13 Statistical analysis of the pressure responses, P3, in the Z5 zones..........122 Table D.14 Statistical analysis of the pressure responses, P6, in the Z6 zones..........122 Table D.15 Statistical analysis of the pressure responses, P8, in the Z6 zones..........123 Table D.16 Statistical analysis of the pressure responses, P9, in the Z6 zones..........123 Figure 1.1 Analysis flowchart of nonlinear ship responses in waves..........................56 Figure 2.1 Brief type of RD-200 model......................................................................57 Figure 2.2 Layout of experiment equipments at towing tank......................................58 Figure 2.3 Experimental setup. P1-P25, pressure sensors; A1-A4, accelerations.......59 Figure 2.4 Locations of pressure sensors. W.L., waterline; S.S., sectional station.....59 Figure 2.5 Flowchart of analysis process in experimental data...................................61 Figure 2.6 2nd and 3rd harmonic components of incident regular waves.....................63 Figure 2.7 Variance spectra of incident irregular waves. (left: Fn = 0.31; right: Fn = 0.42)................................................................................................................ 63 Figure 2.8 Cumulative distributions of peaks (Left) and Probability density distribution (Right) of incident irregular waves. (Fn = 0.42, sea state 5).....................63 Figure 4.1 Raw data of wave, motions and accelerations. (λ/L = 1.30, Hw/λ = 1/51, Fn = 0.42)...........................................................................................................64 Figure 4.2 Raw data of pressure responses. (λ/L = 1.30, Hw/λ = 1/51, Fn = 0.42).....64 Figure 4.3 Time histories of pressure responses. (λ/L = 1.10, Fn = 0.42)...................65 Figure 4.4 Time histories of pressure responses. (λ/L = 1.50, Fn = 0.42)...................65 Figure 4.5 Steady-run responses as function of the Froude number...........................66 Figure 4.6(a) 1st harmonic components of motion responses. (Fn = 0.42)..................66 Figure 4.6(b) 1st harmonic components of pressure responses. (Fn = 0.42)...............67 Figure 4.7 Amplitudes of 2nd harmonic components of measured responses. (Fn = 0.42) ...................................................................................................................68 Figure 4.8 Amplitudes of 3rd harmonic components of measured responses. (Fn = 0.42) ...................................................................................................................68 Figure 5.1(a) Time histories of motions and accelerations. (Fn = 0.42, Sea state 5) 69 Figure 5.1(b) Time histories of pressure responses. (Fn = 0.42, Sea state 5)..............69 Figure 5.1(c) Time histories of pressure at P10. (Fn = 0.42, Sea state 5)...................70 Figure 5.1(d) Time histories of pressure at P16. (Fn = 0.42, Sea state 5)...................70 Figure 5.2(a) Variance spectra of vertical motions and accelerations. (Fn = 0.42, Sea state 5).........................................................................................................71 Figure 5.2(b) Variance spectra of pressure responses. (Fn = 0.42, Sea state 5)..........71 Figure 5.3(a) Cumulative distributions of vertical motions and accelerations peaks. (Fn = 0.42, Sea state 5)..........................................................................72 Figure 5.3(b) Cumulative distributions of pressures peaks. (Fn = 0.42, Sea state 5) 72 Figure 5.4 Probability density functions of pressure responses. (Fn = 0.42, Sea state 5).....................................................................................................................73 Figure 6.1 Coordinate systems....................................................................................74 Figure 6.2 Time histories of responses at λ/L = 0.95 and Fn = 0.42. (From left to right: Hw/λ = 1/97, 1/77, 1/50)...........................................................................74 Figure 6.3 Time histories of responses at λ/L = 1.30 and Fn = 0.42. (From left to right: Hw/λ = 1/90, 1/75, 1/50)...........................................................................75 Figure 6.4 Mechanism of pressure response near waterline. (λ/L = 1.30, Hw/λ = 1/90, Fn = 0.42)..................................................................................................76 Figure 6.5 Variation of FRFs in motion and acceleration responses...........................76 Figure 6.6 Variation of FRFs in pressure responses....................................................77 Figure 6.7(a) Comparisons of time histories in motions and accelerations. (Fn=0.42, Sea state 5).......................................................................................................78 Figure 6.7(b) Comparisons of time histories in pressure responses. (Fn=0.42, Sea state 5) ...................................................................................................................79 Figure 6.8(a) Comparisons of variance spectra in vertical motions and accelerations. (Fn = 0.42, Sea state 5)..............................................................................80 Figure 6.8(b) Comparisons of variance spectra in pressure responses. (Fn = 0.42, Sea state 5).......................................................................................................80 Figure 6.9(a) Comparisons of cumulative distributions in vertical motions and accelerations peaks. (Fn = 0.42, Sea state 5).............................................81 Figure 6.9(b) Comparisons of cumulative distributions in pressure peaks. (Fn = 0.42, Sea state 5).................................................................................................81 Figure 6.10 Comparisons of probability density functions in pressure responses. (Fn = 0.42, Sea state 5)........................................................................................82 Figure A.1 Low-pass FIR filter designed via the Blackman window. .......................87 Figure A.2 Comparison of P16’s time histories between raw data and filtered data in regular wave..............................................................................................87 Figure A.3 Magnitude response of adaptive filter. ....................................................88 Figure A.4 Comparison of P10’s time histories between raw data and filtered data in irregular wave............................................................................................89 | |
| dc.language.iso | en | |
| dc.subject | 頻率響應函數 | zh_TW |
| dc.subject | 非線性壓力 | zh_TW |
| dc.subject | 高速船 | zh_TW |
| dc.subject | 三階Volterra模式 | zh_TW |
| dc.subject | Frequency response function | en |
| dc.subject | Nonlinear pressure | en |
| dc.subject | High-speed vessel | en |
| dc.subject | Third-order Volterra model | en |
| dc.title | 應用Volterra模式分析高速船舶波中非線性反應之研究 | zh_TW |
| dc.title | Study on nonlinear responses of a high-speed ship running in waves based on the Volterra model | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 96-1 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 汪群從(Chun-Tsung Wang),郭振華(Jen-Hwa Guo),方銘川,方志中,周顯光 | |
| dc.subject.keyword | 非線性壓力,高速船,三階Volterra模式,頻率響應函數, | zh_TW |
| dc.subject.keyword | Nonlinear pressure,High-speed vessel,Third-order Volterra model,Frequency response function, | en |
| dc.relation.page | 55 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2007-12-04 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工程科學及海洋工程學研究所 | zh_TW |
| 顯示於系所單位： | 工程科學及海洋工程學系 | |
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